Software built to your specification.
10× faster and cheaper.
Build the software that fits your business and locks in the competitive advantages that set you apart. Hang Ten works alongside your internal teams to build, modernize, and run the enterprise-grade software your business depends on, using an AI-Native Enterprise approach.
Seed funding raised from top-tier VCs and pioneering technology and industry executives.
Our Customers
A trusted agentic AI strategic advisor and software development partner for some of the world's largest companies.
Our Investors
01 / Offering
10× value on your biggest programs
Hang Ten takes your existing, budgeted software development and transformation programs and delivers 10× value, using an AI-Native Enterprise approach.
Enterprise software becomes a custom, dynamic, fast-evolving asset, shaped to how your business actually runs, and optionally hosted and managed by us.
10× value takes different shapes. On some programs it shows up mostly as speed, on others mostly as cost, and often as a mix of both. We agree which matters most to you before we scope the work.
Why now
With agentic AI, the cost of building software is falling toward zero. For years, most of a program's cost was the labor to bend generic products to a specific business. AI now does that work, so software built around how your enterprise actually operates is within reach for most companies.
Sources: METR (2025); GitHub / MIT Copilot productivity study; McKinsey, State of AI (2024).
Where the time goes
When agents write the code, Build collapses. Planning and review grow, because the same people now handle more work, and the time that comes back pays for running every control on every change.
How we deliver it
Platform
Hobie, our agentic AI platform
Engaged across the full life of your program, so each engagement starts from what the last one built.
People
Expert FDE-led delivery
One small, senior forward-deployed team that works alongside yours across the program.
Pricing
Outcome-based pricing
We agree the price against a defined outcome before we start, so our incentives line up with your result.
02 / Platform
Hobie
Hobie is our agentic AI platform. Five layers read your live systems, model your business, and answer questions that trace back to the source data.
One platform, five layers
ShorelineCustomer-facing surfaceThe conversational surface people actually use: chat with memory, clarification, and intent routing, in the browser or piped into tools like Claude and ChatGPT Desktop.
ShaperBuilds & refines the agentsBuilds each agent by reading your live systems, then keeps improving it on a closed loop: evaluate, diagnose, fix, verify. Most of the work is deterministic compilation, so results are repeatable.
LensThe semantic layerA published, versioned model of your business: datasets, metrics, relationships, and a plain-language vocabulary. Business logic lives here, editable without touching database views.
ReefKnowledge, queried in placeRuns queries in place against your existing systems, with nothing copied or migrated. One shared model maps many of them onto the same concepts.
BeaconAudit & governanceSpans every layer. Each answer traces to the exact data and model version behind it, with fail-closed, role-aware access and per-caller credentials.
Requests flow down through the layers. Grounded, governed answers flow back up, and Beacon records every step.
What sets Hobie apart
Your data never moves
Queries run in place, straight against your systems, with nothing copied or migrated.
Deterministic by design
Agents emit structured intent that compiles to read-only queries, so the output stays safe and repeatable.
Improves on a closed loop
Evaluate, diagnose, fix, verify, monitor, with graded checks and regression gates.
An inspectable model
A published, versioned model of your business, with logic you can read and edit.
Governed by default
Fail-closed, role-aware access, with every answer traceable to the exact data and model state.
Built for regulated industries
Per-caller credentials and controls aligned to HIPAA, SOX, and NIST.
03 / About Us
About Hang Ten
Who we are
Our leadership team consists of veteran enterprise technologists, solution architects and systems builders.
Founder & CEO
Dr. Vishal Sikka
Ph.D. AI, Stanford. Former Infosys CEO and SAP Executive Board member leading products; boards at BMW, GSK, and Stanford HAI.
Engineering & Platforms
Dr. Navin Budhiraja
Ph.D. CS, Cornell; IIT-K. Enterprise technologist, formerly at Amazon, SAP, Infosys, ANSYS, and Vitria.
Design & Applied AI
Dr. Sanjay Rajagopalan
Ph.D. Stanford (Design); IIT-D. Design-thinking leader, formerly at SAP, Infosys, and Covigna.
Applied AI & FDE Org
Dr. Tao Liu
Ph.D. AI/NLP, Nankai. Frontier-AI and FDE org-building expertise, formerly at SAP and Infosys.
Global Operations
Frank Yu
Formerly Augmentum, Vitria, Walker, and Cadence.
Corporate Law & Corp Dev
Yusuf Safdari
Formerly Wilson Sonsini, Pillsbury Winthrop, and Greenberg Traurig.
Finance & Operations · CPA
Pradeep Panicker
Former CFO of SAP 365; EY Audit & Consulting.
The work we do
Our areas of focus, and the engagements already in flight.
SAP landscapes & migration
Simplification and cost reduction across the program.
Functional transformation
Finance, HR, reporting and analytics: the "AI Hat" across the operation.
Product & software development
Reliable, enterprise-grade software delivery for product (CTO/CPO) and functional areas, built on agentic SDLC.
Advisory & CoE
Centre-of-excellence build-out and organizational redesign, across any of the areas above.
A selection of engagements either in process or recently completed. Hover or tap a card for detail.
Pharmaceuticals & Healthcare
Global pharma & healthcare group
Self-service financial intelligence. Ask group finance questions in plain language and get answers with reasoning and sources.
Details →Finance teams spent more time assembling answers than acting on them. We deployed a governed AI financial-analytics capability: natural-language questions answered with reasoning and sources, role-based access by business unit and geography, and automated regression testing, embedded into the monthly close. Targeting 90%+ answer coverage and self-service for business leaders.
Business Transformation
Multinational healthcare group
Future-proofing a multi-year, group-wide process transformation against the pace of AI.
Details →A five-year global standardization program risks freezing a design that AI overtakes before go-live. We provide senior, independent executive advisory: testing the target design against an AI-everywhere operating model, reviewing early pilots, and benchmarking the future state, so the design stays relevant for a decade and executable today.
Renewable Energy
Global wind-energy leader
Proving AI-native delivery on a core internal application, and anchoring a multi-year partnership.
Details →A production-ready, next-generation build of a core internal application, delivered in rapid sprints by a joint pod of our forward-deployed engineers and the customer's own experts, against objective, jointly agreed acceptance criteria. Targeting a production build inside 90 days and a reference case for AI-native delivery across the product cycle.
Integrated Energy
Integrated energy supermajor
A governed intelligence layer that gives a portfolio of companies one common language for talent.
Details →Hundreds of affiliates run different HR systems, each with its own job architecture, and regulation prevents centralizing the data. We build a governed layer above the source systems: a canonical talent ontology, federated read-only connectivity with residency and audit, an AI equivalency engine mapping local titles to a common reference, and a natural-language analytics agent. A 90-day first phase, proven before scaling.
In their words
"Every enterprise I know is looking for sound trusted guidance on AI and help with dramatically improving major operational programs. I am very excited to see Vishal and his team tackle this challenge with Hang Ten. We at SGRE are delighted to work with Hang Ten on several strategic initiatives." Vinod Philip · CEO, Siemens Gamesa Renewable Energy
"We're selling work, not software. Global spending on white-collar employees is around $30 trillion, compared with a $600 billion enterprise software market. AI will go after people spend rather than software spend, which is why pricing will move from subscription to outcomes. If AI does 10% of the work people do by 2030, it's a $3 trillion market. At 20%, it's a $6 trillion market." Navin Chaddha · Managing Partner, Mayfield
"Deployment of AI at enterprise scale is fast becoming the biggest challenge and opportunity of our time. We are proud to join Vishal and the Hang Ten team in their seed round to go after this generational opportunity. Their combination of Frontier AI experience, decades of delivering enterprise solutions at scale, and deep enterprise relationships worldwide is rare, and is what it will take to deliver on the promise of Enterprise AI." Mahdi Aladel · CEO, Aramco Ventures
"At Mayfield, we invest in people first, and Vishal is one of the rare leaders who can make enterprise AI actually work. We backed Vishal from inception because he has done this before running products and technology at SAP and leading Infosys as CEO. Within a few years, the gap between enterprises that use AI to real advantage and those that don't will define entire industries." Navin Chaddha · Managing Partner, Mayfield
We're hiring
We're growing across delivery, engineering, and research. See our open roles.