GoodScore Raises $13M to Transform How Indians Track and Manage Credit

GoodScore, a Bengaluru-based AI-powered fintech platform, has raised $13 million in Series A funding, led by Peak XV Partners, with participation from existing investors Stellaris Venture Partners and Saison Capital. Founded in 2023 by Sanchit Bansal, GoodScore enables users to manage their credit health through personalised, AI-driven insights and expert guidance, helping them improve their credit scores and manage their borrowings.

India’s booming fintech ecosystem has made access to credit easier than ever, but it has also led to growing over-leverage and repayment stress. With multiple loan and credit-card options at their fingertips, many consumers are now juggling several EMIs without full visibility into their obligations. Fintech NBFCs now account for nearly three-fourths of all personal loans by count, and delinquencies are rising as borrowers stretch themselves thin. As of March 2025, personal loans overdue by more than 90 days rose to 3.6%, a six-quarter high, while credit-card dues overdue for 91-360 days surged 44% year-on-year to nearly ₹34,000 crore. This spike can be linked to borrowers holding three or more unsecured loans simultaneously, creating a need for responsible credit management tools that bring visibility, control and discipline back to consumers’ financial lives.

To solve this growing challenge, GoodScore offers an integrated, AI-powered credit management platform that brings together credit bureau data, transactional insights, and behavioural patterns to deliver real-time credit monitoring, personalised score improvement guidance, and repayment tracking, all in one place. The platform also features AI-led educational content, spend tracking, and access to human experts, helping users make smarter financial decisions, improve their credit scores and maintain healthy credit habits. GoodScore serves India’s growing base of credit-active users, from young earners to seasoned borrowers, enabling them to understand, manage and improve their credit profiles with confidence, and ultimately access loans at affordable rates.

Sanchit Bansal, Founder, GoodScore, said: “We started GoodScore with the belief that managing credit shouldn’t be as stressful or confusing as it is today. We wish to change how Indians interact with credit by bringing every user’s credit life into one view, helping them understand their loans, track payments and make informed, data-driven financial decisions. Our goal is to make responsible credit management a mainstream habit for millions of Indians.”

Ishaan Mittal, Managing Director, Peak XV, “India has an active borrower base of over 250 million consumers. GoodScore is on a mission to empower them by putting them in charge of their credit health. They can track scores, take actionable steps to resolve bureau disputes and manage repayments seamlessly. GoodScore is not just helping users improve scores, it is unlocking credit access and fueling true financial inclusion in India. We are proud to be a part of this mission with Sanchit and team.”

Mayank Jain, Principal, Stellaris Venture Partners, said, “Having known Sanchit for over a decade, I have seen firsthand his deep customer-backwards orientation and product-first mindset. That conviction made it natural for us to back him from day zero, and it is reflected in GoodScore's formidable customer NPS and trust among users. The company's strong traction today reflects the rising importance of credit health in India, with COVID serving as a key catalyst in this shift. As a partner since 2023, Stellaris has been privileged to support GoodScore's journey, and we look forward to the continued impact they will create.”

Since its launch, GoodScore has rapidly scaled to millions of active users pan-India, with strong adoption across Tier 2 and Tier 3 cities. GoodScore plans to use the funds raised to deepen its AI-led advisory offerings, expand its tech, product and operations teams, and further enhance its credit marketplace, connecting borrowers and lenders across India.

About GoodScore: GoodScore is an AI-powered platform that simplifies credit management for Indian consumers. From personalised credit advisory and real-time credit score monitoring to flexible repayments and spend tracking, GoodScore empowers users to take control of their financial health. The company partners with leading financial institutions including HDFC Bank, KreditBee, and Tata Capital, building a premier credit ecosystem. Website: https://www.goodscore.app/

Ignosis Raises $4M Led by Peak XV’s Surge to Scale AI-Powered Financial Intelligence for India’s BFSI Sector

L-R: Nirav Prajapati, Co-Founder & CEO, Ignosis, and Chintan Sheth, Co-Founder & CTO, Ignosis

• In just three years, Ignosis has earned the trust of 125+ financial institutions enabling access to credit, insurance, and investments through hyper-personalised, AI-driven financial intelligence.

Ignosis, India’s leading enterprise-first Account Aggregator (AA) infrastructure and financial data intelligence platform, has raised $4 million in its Pre-Series A round led by Peak XV’s Surge, with participation from Force Ventures, Razorpay Ventures, Kunal Shah of Cred and other existing investors.

Ignosis tackles the systemic challenges holding back India’s financial data ecosystem. Despite rapid digitisation, 160M+ Indian consumers remain credit underserved. Most of them without a formal proof of income, remain excluded from affordable loans, insurance, and financial planning. Even 80% of MSMEs still struggle to access formal credit.

Ignosis addresses these critical gaps with its Account Aggregator (AA) infrastructure and financial data intelligence platform. It enables BFSI to underwrite, collect, and advise with confidence. And drive the next wave of financial inclusion in India.

Nirav Prajapati, Co-Founder and CEO, Ignosis, says–

We believe Account Aggregator (AA) is set to become embedded in every financial transaction journey in India. Just as UPI became the default rails for payments, AA is poised to become the default rails for secure, consent-driven financial data sharing. Our solution is to build a reliable and intelligent Account Aggregator (AA) layer that makes financial data both accessible and usable.

“With advances in AI, we are enabling BFSI to move away from legacy bank statement analytics into a new era of financial data intelligence,” says Chintan Sheth, Co-founder & CTO, Ignosis. “Our platform delivers highly accurate income detection, risk underwriting, and fraud and financial health signals. Ignosis gives institutions the precision and confidence to serve customers with speed, trust, and personalized financial services.”

Ignosis will deploy the capital to scale its engineering, business, and compliance teams in support of customers across India’s evolving financial ecosystem. Key growth priorities include driving hyper-personalisation through financial data intelligence and building finance-specific LLMs and agentic AI use cases for BFSI.

Ignosis is built on secure, compliant rails aligned with the RBI’s Account Aggregator framework and the DPDP Act, 2023, enabling financial institutions to innovate while meeting regulatory standards. Headquartered in Ahmedabad, Ignosis was founded in 2022.

About Ignosis

Ignosis is India’s financial data intelligence platform with enterprise-first Account Aggregator infrastructure for financial institutions. Serving 125+ BFSI customers, its AI analytics platform provides accurate income verification, intelligent collections, spend analysis, portfolio/wealth insights, hyper-personalised nudges along with risk and fraud signals.

Ignosis is building on RBI- and DPDP-compliant DPI rails including AA, OCEN, and ONDC-FS to empower 300M+ underserved Indians with faster, safer, and more inclusive access to credit, wealth, and insurance.

Headquartered in Ahmedabad, Ignosis was founded by Nirav Prajapati and Chintan Sheth and has raised $4M in pre-Series A led by Peak XV’s Surge with participation from Razorpay Ventures, Force Ventures, and Kunal Shah.

Peak XV Announces Surge 11: 23 Startups Shaping the Future of AI, Fintech & Consumer Innovation

Peak XV today announces the launch of Surge 11, bringing together 23 pioneering companies that are reimagining the future for consumers, developers, and enterprises across India, APAC, and global markets.

Surge’s eleventh cohort includes 12 AI startups building across vertical, enterprise, and consumer AI. Alongside them are 4 fintech innovators, 4 consumer brands, and 3 infrastructure and dev tools companies.
Since its inception in 2019, Surge has become one of the most impactful early-stage platforms globally. Surge companies have raised over $3 billion in follow-on funding, with the top ten startups generating more than $1 billion in cumulative annual revenues.

The Surge community has now grown to 170+ startups and 400+ founders, spanning 17+ nationalities and 18+ sectors. Surge combines seed capital with unmatched global access, bringing hands-on guidance from Peak XV’s investment and operating teams alongside structured programming focused on product, engineering, sales, marketing, culture, fundraising and other key foundational elements of building enduring companies.

“At Surge, we believe the seed stage is where the magic begins, and Surge 11 reflects the extraordinary entrepreneurial energy across our region. AI is leading the charge, not just in enterprise applications but by beginning to transform traditional industries from banking and healthcare, to semiconductors and manufacturing. We are also seeing the emergence of new consumer AI companies which is incredibly exciting. But AI is not the full story - we are now seeing the next wave of fintech companies and exciting new consumer companies in India and our region. This cohort truly offers a glimpse of the future,” said Rajan Anandan, Managing Director, Peak XV and Surge.

One element of Surge is the founder immersion where founders learn directly from some of the most influential builders across our region and globally. Some of our speakers and mentors in previous cohorts include Sanjeev Bikhchandani of Info Edge; Harshil Mathur of Razorpay; Vidit Aatrey of Meesho; Amrish Rau of Pinelabs; Kunal Shah of CRED, Gokul Rajaram; Arvind Jain of Glean, and Aman Sanger of Cursor.

The founder immersion for Surge 11 culminates in the US where founders engage directly with global leaders in technology. Previous immersions have included Sam Altman at Open AI HQ, Jensen Huang at NVIDIA HQ, and operators including Carl Eschenbach, CEO of Workday, and Sridhar Ramaswamy, CEO of Snowflake.

Past Surge founders also lead sessions for current founders, including Prukalpa Sankar of Atlan; Sagar Khatri of Multiplier; Bahadir Ozdemir of Airalo; Dhvanil Sheth of Skillmatics; Mohit Yadav of Minimalist; Sanket Shah of InVideo and Asad Khan of LambdaTest.

Surge also continues to bring in world-class investors to guide founders on scaling and fundraising, including Doug Leone of Sequoia Capital, Vinod Khosla of Khosla Ventures, and Chetan Puttagunta of Benchmark.

About Surge

Surge is Peak XV Partners’ rapid-scale-up program for early-stage founders. The program combines up to USD 3 million of seed capital with company-building workshops, community access, and a global curriculum delivered by world-class operators. Surge’s mission is to help founders lay the foundation for enduring companies from day one. For more information, visit https://surge.peakxv.com/.

About Peak XV

Peak XV Partners (formerly Sequoia Capital India & SEA) is a leading venture capital firm investing across India, Southeast Asia and beyond. Over the last 19 years of operations in the region, Peak XV has grown to manage approximately USD 9 billion in capital across 13 funds and invested in over 400 companies. The portfolio has seen 31 IPOs and several successful M&As till date. To know more, please visit: www.peakxv.com.

Ex-Sequoia-India Investor Raises $3M for AÏZA by Amaani from Peak XV’s Surge to Build Beauty Brands from the Middle East

Amaani, a new-age consumer company reimagining beauty and wellness from the Middle East, has raised $3M in seed funding for its debut Arab beauty brand AÏZA. The round was led by Peak XV’s Surge (formerly Sequoia Capital India & SEA), marking their first consumer and seed investment in the MENA region.

Founded by Shubham Poddar, a former Sequoia India investor who helped drive its expansion in the Middle East with investments across fintech, foodtech, and proptech, Amaani is built on a bold vision to create global beauty brands from Arabia.

“For decades, the Middle East has fueled the success of global brands. But the world is now looking toward the Middle East – not just for inspiration, but for innovation. Amaani is our way of answering that call,” said Shubham Poddar, Founder & CEO of Amaani. "Amaani means ‘wishes and aspirations’ in Arabic, and that’s exactly what we’re building: brands that capture the spirit of a rising region and speak to the world. With the region boasting among the highest per capita beauty spend globally, growing online penetration, and an increasing demand for local relevance, Amaani is poised to meet a generational shift in how consumers shop and what they seek: brands that reflect their identity, values, and aspirations.”

Launched online in May 2025, AÏZA blends Arab heritage with global innovation, using regional ingredients like dates, black seed, and bakhoor, combined with clinical actives, and crafted in leading labs in Korea, Japan, and Italy. Its hero products include Sukkar Rush, a high-shine lip treatment with date and honey; Scent Storm, a bakhoor & rose hair mist inspired by Arab fragrance rituals; and Date Setter, a brow & lash serum with date seed and castor oil. In just three months of marketing launch, AÏZA has surpassed $2M in annualized revenue, fueled by strong consumer traction in UAE & Saudi Arabia.

“The GCC beauty and personal care market is already a $12B industry, growing at over 12% annually, with some of the highest per capita spends globally,” said GV Ravishankar, Managing Director at Peak XV. “We believe the region is now primed to produce the next wave of culturally resonant, globally admired consumer brands. Amaani is well positioned to lead this movement.”

AÏZA’s formulations are vegan, cruelty-free, alcohol-free, and meet “Clean at Sephora” standards, while championing Arab culture and storytelling for a global audience. Led by a strong team from leading consumer companies such as Huda Beauty, Lenskart, Giving Movement, and Careem, the brand has already hosted a pop-up in Dubai Mall and been featured in publications like Vogue, Elle, Cosmopolitan, Hia and Laha.

Amaani plans to scale AÏZA across the region and globally, both online and through retail, while also developing a portfolio of future brands that continue to celebrate and reimagine Modern Arabia for the world.

About Amaani

Founded by Shubham Poddar, Amaani is a Dubai-based company on a mission to build new-age consumer brands from the Middle East, backed by Peak XV’s Surge (formerly Sequoia Capital India & SEA). It’s debut brand AÏZA is a premium skincare and haircare brand inspired by the rich heritage, ingredients, and rituals of Arabia – reimagined for the modern world. Each product is crafted with powerful regional superfoods, blended with proven clinical actives and produced in leading global labs. With values rooted in being Past Forward, Proud, Real, and Positive, AÏZA brings the spirit of modern Arab beauty to the global stage.

GenAI Healthtech Startup Arintra Raises $21 Mn to Expand Autonomous Coding Platform

• Healthcare organizations are facing increasing financial strain, but current coding solutions are falling short
• Arintra helps providers secure full, compliant reimbursement by combining GenAI-native coding automation, provider-specific clinical documentation improvement (CDI), and payer-aware denials insights while reducing costs
• With proven enterprise-scale outcomes at large health systems and physician groups, and investment from customers such as Endeavor Health Ventures, Arintra continues to expand nationwide

Arintra, the leading GenAI-native autonomous medical coding platform for healthcare providers, today announced $21 million in Series A funding. The round was led by Peak XV Partners, with participation from Endeavor Health Ventures, Y Combinator, Counterpart Ventures, Spider Capital, Ten13, and other strategic investors. The investment will fuel Arintra’s growth as it expands adoption across health systems and physician groups nationwide. The company will accelerate product development, scale its team, and open a new Bay Area headquarters to meet rising demand.

Healthcare organizations are facing greater financial strain than ever. Margins are thinner, coders are in short supply, and payer requirements are becoming increasingly complex. With new policies further impacting insurance reimbursement, providers need proactive automation solutions to get ahead and stay ahead.

Traditional autonomous coding solutions stop at accurately coding charts for reimbursement. Arintra goes further by delivering Revenue Assurance: a proactive, outcomes-driven approach that ensures health systems are reimbursed accurately and efficiently for the care they provide. The result: maximum compliant reimbursement, a more streamlined revenue cycle, with lower costs and tangible ROI.

“At Arintra, we bring together autonomous medical coding, clinical documentation improvement, and denial prevention in a single platform,” said Preeti Bhargava, Co-founder and CTO of Arintra. “By helping providers document what was done, code what was documented, and properly support what was charged, we enable them to secure full, compliant reimbursement at a lower cost, with fewer delays and significantly less manual effort.”

Arintra’s reimagined approach to medical coding has already processed over a billion dollars in healthcare charges. It has helped customers recover millions of dollars in otherwise missed revenue, while reducing manual work and accelerating cash flow.

• At Mercyhealth, Arintra delivered a 5.1% increase in revenue and 43% reduction in denials on claims automated, cut work queue aging by 50%, and lowered coding costs by 32%. Read the full case study.
• At Reid Health, Arintra helped speed up accounts receivable and improve coding accuracy across specialties.

“We chose Arintra because it integrates deeply with Epic and changed how we code without disrupting our workflows. We went from billing delays and high denials to faster A/R and fully automated charge capture. It is one of the few AI tools that delivers hard ROI, fast,” said Muhammad Siddiqui, Chief Information Officer at Reid Health.

The idea for Arintra was drawn from personal experience. After an emergency department visit, co-founder Preeti Bhargava received a surprisingly large bill. Unsure of what to do, she went through months of back-and-forth between her insurer and provider before it was revealed that a simple coding error had caused the issue. This highlighted not only the widespread breakdowns in how care is documented and reimbursed, but it showed how exposed patients and healthcare organizations are to something so technical and obscure that it can be difficult for humans to step in to rectify the issue.

This inspired computer science PhDs Preeti and Nitesh to analyze the problem through a modern technical lens and to reimagine medical coding as a strategic lever for healthcare’s financial health.

“Reimbursement in healthcare is fundamentally broken. Payers are moving fast, using policy and technology to shift more burden onto providers, but autonomous coding hasn't kept up,” said Nitesh Shroff, Co-founder and CEO of Arintra. “We built Arintra to help healthcare providers secure compliant revenue at scale while easing the burden on frontline teams.”

“The disruption of the $150 billion healthcare reimbursements industry will be one of AI’s defining impacts. Arintra’s autonomous system tackles one of the hardest challenges for providers; translating clinical documentation into accurate insurance codes so they get paid fairly and fast. The results speak for themselves; providers are recovering millions in lost revenue by partnering with Arintra. It is a great example of vertical AI done right - real enterprise adoption, clear ROI, and an ambitious roadmap as models continue to improve.” Mohit Bhatnagar, MD, Peak XV. “After backing Nitesh and Preeti at seed through our Surge Program, Peak XV Partners is excited to double down and lead Arintra’s Series A round.”

Arintra’s GenAI native platform combines large language models with clinical knowledge graphs to interpret patient charts in context and apply specialty-specific coding guidelines with precision. Every code that Arintra generates is fully explainable and auditable, helping build trust in a high-stakes environment. The platform integrates natively with leading Electronic Health Record systems (EHRs) including Epic and Athena, operating almost invisibly within existing workflows.

As adoption grows, Arintra continues to expand its capabilities to help more healthcare organizations achieve sustainable financial outcomes. With measurable ROI, lasting customer impact, and a deep understanding of healthcare’s financial challenges, Arintra is poised to become the trusted partner for revenue assurance in healthcare.

Visit https://arintra.com to learn more.

About Arintra

Arintra provides the industry’s leading GenAI-native autonomous coding platform, enabling health systems to get paid accurately and efficiently for the care they deliver, driving revenue assurance at scale. By combining cutting-edge AI with deep clinical expertise, Arintra autonomously codes charts with high accuracy, without human intervention. Unlike bolt-on tools, Arintra works directly within the EHR, ensuring seamless adoption with zero workflow changes or data integrity risk. Health systems use Arintra to unlock missed revenue due to coding gaps, documentation issues, and unchallenged denials - achieving 5%+ uplift in revenue, 12%+ reduction in A/R days, and 43%+ fewer denials.

* Epic is a trademark of Epic Systems Corporation

Qbeast Secures $7.6 Mn in Seed Funding to Help Open Data Platforms Scale Efficiently

• Barcelona Supercomputing Center spinout lands funding from Peak XV to accelerate the development of the first open, multi-dimensional indexing layer for Delta Lake, Apache Iceberg and Apache Hudi.

As enterprise data volumes explode and AI pipelines strain modern infrastructure, the open Lakehouse architecture has emerged as the new standard for analytics at scale. But while formats like Delta Lake, Apache Iceberg, and Apache Hudi are powerful, they come with a hidden tax: up to 90% of compute resources are wasted scanning irrelevant data, according to Databricks. Today Qbeast, the next-generation data optimization platform, announces a $7.6 million seed round to fix that.

The seed round was led by Peak XV's Surge (formerly Sequoia Capital India), with participation from HWK Tech Investment and Elaia Partners. The new capital will fund team expansion, broaden product support across more analytics use cases, and double down on the company's mission to make open data platforms faster, simpler, and more cost-efficient.The company will also establish a development centre in Bangalore as part of its commitment to scaling innovation, and are actively hiring talent in India to drive these efforts forward.

Born out of research at the Barcelona Supercomputing Center, Qbeast's platform plugs directly into existing Delta, Iceberg, and Hudi tables and accelerates workloads by prioritizing just the data you need. Its multi-dimensional indexing can handle complex filters across columns like time, region, or customer segment – optimizing for both real-time and historical queries in a single table. Unlike traditional partitioning or sort orders that work in single dimensions, Qbeast enables simultaneous filtering across any combination of data attributes. And it integrates with popular compute engines like Spark, Databricks, Snowflake, DuckDB, and Polars without requiring teams to rewrite pipelines or adopt a new storage layer.

To lead the next chapter of the company’s growth, Srikanth Satya, a cloud infrastructure veteran with decades of experience at AWS and Microsoft Azure, has been appointed as Qbeast's CEO. His deep technical expertise in cloud-native architecture and strategic leadership will steer Qbeast through its next phase of global expansion.

"Data teams shouldn't have to choose between speed, cost, and openness," said Satya. "We built Qbeast to make high-performance analytics simple and accessible, without locking organizations into proprietary systems. In a world where data is growing faster than ever, we're here to ensure every company can turn that data into value on their own terms."

Today's data lakes are massive, but not smart - and this is where the technical challenge lies. Everyone's storing their data in open formats, but compute costs are exploding and most queries are painfully slow. Qbeast solves this with drop-in indexing that delivers sub-second performance and cost savings, without locking you into a new stack. In production environments, Qbeast has already delivered query speedups of 2–6x and compute cost reductions of up to 70% for workloads in finance, healthcare, and retail.

"There is an undesirable compute cost hidden in the data layout that has been highly neglected by the market for data lakehouses," shared Flavio Junqueira, CTO of Qbeast and co-creator of Apache ZooKeeper and Apache BookKeeper. "Our technology enables customers across verticals to reduce or even eliminate such costs in a manner that embraces the openness of the data lakehouse stack and that is both engine and format neutral."

The team behind Qbeast includes heavy hitters in distributed systems and open data. The company's core technology is rooted in research conducted by Cesare Cugnasco, CSO of Qbeast and Paola Pardo during their time at the Barcelona Supercomputing Centre, where breakthrough work in multi-dimensional indexing laid the foundation for today's platform. Unlike closed platforms that require vendor lock-in or significant rewrites, Qbeast plays natively with the tools data teams already use, serving organizations across finance, retail, healthcare and beyond — any team using open formats to power analytics, AI, or business intelligence at scale.

"We believe every organization, not just the tech elite, should be able to extract value from their data without incurring massive cloud costs or hiring a team of engineers to tune performance," added Satya.

“We believe Qbeast is solving a fundamental challenge in the modern data stack. In a context of data volume explosion, their multi-dimensional indexing layer has the potential to become critical for every company moving to a lakehouse model”, said Juan Santamaría, CEO and Managing Partner at HWK TechInvestment.

“By empowering enterprises to unlock more value from their data with less complexity and expense, Qbeast aims to become the cornerstone indexing layer for modern data stacks”. said Sébastien Lefebvre, Partner & Deep Tech Investor at Elaia.

Looking ahead, Qbeast plans to extend its platform with auto-tuning, adaptive indexing, and deeper engine support across cloud providers and use cases. The goal: to become the default indexing layer for open Lakehouse architectures and unlock a future where data-driven innovation doesn't come at the cost of performance, scalability, or sanity.

SixSense Raises $8.5 Mn Funding to Power AI-Driven Semiconductor Manufacturing

SixSense, a pioneer in AI for semiconductor manufacturing, announced a new round of funding led by Peak XV’s Surge (formerly Sequoia India & SEA), with participation from Alpha Intelligence Capital, Febe, and others.

Founded by engineers Akanksha Jagwani and Avni Agarwal, SixSense is tackling one of the semiconductor industry’s biggest challenges: turning raw production data from defect images to equipment signals into real-time intelligence that helps factories prevent quality issues, improve throughput, and produce more good chips from the same line.

With this new funding, SixSense will:

• Expand into chipmaking hubs across Malaysia, Taiwan, and the U.S.
• Partner with more AI-first inspection equipment makers to deliver deeper on-the-ground AI integration
• Invest in next-gen R&D — moving from isolated inspection tools to line-level intelligence, where multiple machines talk to each other through AI to improve factory-wide decisions in real time

As demand surges from AI, 5G, IoT, and electric vehicles, chipmakers are racing to build smaller, more complex chips — with far less room for error. “Making a single chip is one of the most demanding feats in modern manufacturing — it happens in cleanrooms thousands of times cleaner than hospital operating rooms and relies on precise coordination across hundreds of machines and thousands of ultra-sensitive steps,” said Akanksha Jagwani, Co-founder and CEO of SixSense. “Imagine trying to build a skyscraper out of microscopic Lego blocks, where a tiny shift in one brick — invisible to the eye — can collapse the whole structure. That’s what chip factories face every day.” Spotting early signs of failure before they spiral into costly defects or delays is a big challenge and that’s where AI becomes essential."

SixSense AI gives engineers the early warnings they need to fix problems. Their platform analyzes massive volumes of production data to detect, classify, and predict failure patterns — helping factories shift from reactive inspection to proactive control.

With SixSense, manufacturers can:

• Catch rare, small, and critical defects that humans often miss. 
• Avoid over-rejecting good chips — improving usable output (i.e., yield)
• Predict process drifts before they cause bigger failures

“Unlike traditional AI tools, SixSense is hardware-agnostic, explainable, and built for engineers — not data scientists,” said Avni Agarwal, Co-founder and CTO. “Process engineers can fine-tune models using their own fab data, deploy them in under two days, and trust the results — all without writing a single line of code. That’s what makes the platform both powerful and practical.”

SixSense already powers inspection lines at leading semiconductor manufacturers such as GlobalFoundries and JCET. Their customers have processed 100 million chips through the SixSense system and typically seen benefits such as : 30% faster production cycles 1%–2% higher yield by recovering chips that would’ve been wrongly rejected
Up to 20% fewer errors and >90% less manual effort

The platform is well integrated with major inspection equipment vendors that collectively cover over 60% of the market.

“We started with one step in the process — defect review — and quickly realized customers needed more,” said Akanksha. “Now we’re building the intelligence layer for the entire production line. It’s the foundation every modern fab will need.”

About SixSense: SixSense is an AI-powered platform transforming semiconductor manufacturing by turning raw production data into real-time factory intelligence that helps factories prevent quality issues, improve throughput, and produce more good chips. Founded by engineers Akanksha Jagwani and Avni Agarwal, the company helps chipmakers detect defects early, improve yield, and prevent costly production issues across increasingly complex fabrication lines. Unlike traditional AI tools, SixSense is hardware-agnostic, explainable, and built for process engineers - enabling quick deployment without coding. Backed by Peak XV’s Surge, Alpha Intelligence Capital, and Febe, SixSense is building the intelligence layer every modern fab needs from single inspection points to AI-driven line-level control.