01
Documents that carry risk
Long, high-stakes documents you can't treat like generic text.
ContractsPoliciesLeases +3
Proof India's Premier LegalTech
SUPERLINEAR
Enterprise AI Engineering
AI systems for work that can't be reduced to a prompt.
For work that runs across contracts, legacy systems, approvals, and the judgment of senior experts. For complex multi-step work when chatbots and generic copilots only waste tokens and dollars.
Superlinear builds systems that hold up from proof to production.
Modern AI lets us skip prolonged discovery. Tell us what to build, and a working PoC lands in days.
You have already embraced AI.
A copilot rollout. A few promising demos. A backlog of internal ideas. A leadership mandate. A team trying to work out what is safe, useful, and actually shippable. But the devil, they say, is in the details.
The winning companies of today start their work here. Those who don't, stay stuck in pilots forever.
Everyone has access to the same models.
And yet, most enterprise AI never leaves the prototype. The pilot purgatory lies in the details that come after model selection.
Context. Permissions. Workflows. Data quality. Integrations. Evals. Human review loop. Audit trail. Interface. Operating model. Any one of these is enough to derail a project.
95%
of enterprise GenAI pilots deliver no measurable P&L impact
MIT NANDA, 2025
80%+
of AI projects fail; about twice the rate of non-AI IT projects
RAND, 2024 (reinforced 2026)
50%+
of GenAI projects abandoned after the proof of concept
Gartner, 2025
Pilots that don't graduate to production are the surest path to wasted tokens, dollars, and hours.
Proof
We've done it where it's hardest.
Underneath the AI work
- 20+
- Pilots → Production
- $15m+
- Revenue Contributions
- 2×
- Marquee CTO Stints
- 12B+
- Tokens Processed
- 01 Saltmine Corporate real estate
3 weeks → under a day
Agentic workflows in a live platform. Guideline mapping collapsed to under a day, compliance review from auditor-months to minutes, and a capital-projects rebuild shipped in three sprints against a year-plus estimate.
- 02 India's Premier LegalTech LegalTech
200+ page docs, in Word
LegalTech AI inside Microsoft Word that makes deep, multi-pass edits. It competes with Harvey and Legora.
- 03 A $1B+ AUM family office Wealth management
Hours → seconds
Secure Text-to-SQL over 16 years of legacy SQL. Executives now self-serve answers that used to take hours to pull by hand.
- 04 UPI Scale Workload EV charging
10M daily users, 1000x spikes
Re-architected the data layer of a major Indian EV-charging network to sustain close to a million requests per minute, launched alongside the BHIM/UPI integration.
- 05 BharosaClub FinTech
Banks as paying customers
An agentic what-if portfolio engine, exposed as an MCP server that agents query directly.
- 06 Bangalore police emergency line Public sector
8–10K calls a day
A six-language emergency voice agent that files an automated incident report after every call.
Six building blocks. Most engagements combine a few.
Agentic workflows
Systems that plan and carry out complex multi-step work.
Workspace intelligence
Research, Scoping, Review, Extraction, High-stakes documents.
Custom AI
Fine-tuned proprietary models, RAG systems, modernizing legacy stacks
Multimodal AI
Images, video, voice, and 2-D/3-D, from generation to understanding.
Private & air-gapped AI
Runs where the data lives, when it can't leave the building.
Real-time decision engines
Compliance, business rules, and AI-assisted judgment under load.
We work where generic AI isn't enough.
Our speciality is enterprise tasks that are complex, multi-step, and require collaboration.
-
- 02
Visual work that needs domain judgment
Visual work that hinges on domain judgment about what the images actually mean.
Site photosInspection imagesVideo +3Proof Godrej Properties - 03
Operations that move through people, systems, and approvals
Exception-heavy processes that break the moment they leave the happy path.
Field serviceCapital projectsInternal queues +1Proof 3 weeks → under 1 day - 04
Environments where data can't leave the boundary
Public-SaaS defaults aren't acceptable; the architecture respects the constraints from day one.
Financial assetsRegulated processesInternal systems +2Proof Air-gapped On-prem AI - 05
Enterprises that need context before agents
Before the agent is useful, the enterprise needs a context layer underneath it.
Permissions-aware retrievalMemoryWorkflow state +1Proof UAE's Premier School Group - 06
Other AI we've built
A sample of other production and pilot work from across our team.
- Tradomatix FinTech
- Personalized launch campaigns Entertainment
- Ad-creative compliance checker RegTech
+6 more
Testimonials ❤️
Chetna Chadha,
CEO & Founder
@ SilverFern Digital
Superlinear provided exceptional tech and AI leadership for our complex UAE project, stepping up to guide our developers and coordinate with our CRM vendor. The team helped us throughout the entire journey from solution design to implementation, and remained available for guidance even after our engagement. Extremely helpful, easygoing, and a lot of fun to work with.
Anuradha Vasudeva,
General Manager
@ Saltmine
Superlinear became a force multiplier for us at Saltmine. Streamlining engineering, cutting costs, and helping us win clients, all while raising the bar for team ownership and delivery. We would work with them again as opportunity presents.
Ujjwal Thaakar,
Co-Founder & CEO
@ Bharosa Club
Superlinear stabilized our core system, created the end state design and laid the foundations for our next stage of building. They added real security with tenant isolation and encryption, and made sure data from different providers actually flowed cleanly. Our deployments stopped breaking, and the team could finally focus on features instead of fire drills.
Sandeep Devaram,
Co-Founder, CPO
@ CoLearn
Swanand navigated the line between "be hacky" and "build for the long term" very well, allowing us to execute quickly when needed and maintain reliability. He is also great at identifying and nurturing talent, pushing boundaries, and rallying troops even in ambiguity — startups don't always have the luxury of clarity.
Glenn Vanderburg,
GM & Eng. Director
@ Nubank
Swanand was a trusted and capable colleague I could count on to tackle our most difficult technical challenges. I often consulted him about challenging problems. Back then, I saw that Swanand had leadership potential, and in following his career since 2019, I've been glad to see that he has developed those leadership skills.
Varun Mayya,
Founder & CEO
@ AEOS
Swanand is a master of pedagogy and understanding what students need to transform themselves from programmer to engineer. If you want to learn the foundations of software engineering, nobody better than Swanand!
Consultants who advise. Extended team that stays and builds with you. 🎯
A fast PoC is the best alignment.
01
Pick one workflow. We build it on your data and show it working.
- Scoped and refined on a short call
- Agreed terms, with our tools & our environment
- For our last client, we built the PoC over a weekend
- You keep the build, and a clear path to production
02
You set the bar. If we clear it, we go to production together. Pre-decided.
- You set the success metric before we start
- We clear it, and move to a production engagement
- We miss, and you keep the build with nothing owed
- No repeat cycles of we-send, you-review
Kickstart the PoC
The default path runs through the pilot purgatory. This is the way around it.