Enterprise AI Engineering
Your hardest work won't fit in a prompt.
We build production AI systems for complex multi-step work that runs across legacy systems, proprietary data, high-stakes documents, and the judgment of senior experts.
Modern AI lets us skip prolonged discovery. Tell us what to build and we will ship a working PoC in days.
You have already embraced AI.
You know that everyone has access to the same models. And yet, every company works in its own unique way. Buying Claude, ChatGPT, or CoPilot is never enough.
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You care about zero disruption.
AI actually gets used when there are no new tools to learn, no staff retraining. It's safer too.
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You love fast proof, going live in weeks.
The days of 6-month rollouts are gone. Modern AI is like jet propulsion.
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You want predictable costs & token efficiency.
CFOs love it when you know the bill before go-live. You shouldn't even need a spreadsheet to model it.
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You know that product alone is never enough.
Microsoft, Anthropic, & OpenAI have started forward-deployed service companies for a reason.
Pilots that don't graduate to production are the surest path to wasted tokens, dollars, and hours.
Start getting the best out of AI.We've done it where it's hardest.
- 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. 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 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.
- 04 A $1B+ AUM family office Wealth management
Hours → instant ⚡
Secure Text-to-SQL over 16 years of legacy SQL. Executives now self-serve answers that used to take hours to pull by hand.
- 05 BharosaClub FinTech
Banks as paying customers
An agentic what-if portfolio engine, exposed as an MCP server that agents query directly.
- 06 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.
Six building blocks. Most engagements combine a few.
Agentic workflows
Systems that plan and carry out complex multi-step work.
Private & Air-Gapped AI
Runs where the data lives, when it can't leave the building.
Workspace intelligence
Research, scoping, reviews, and high-stakes documents.
Custom, Evolving AI
Fine-tuned models, Proprietary systems, RAG, legacy stacks.
Multimodal Intelligence
Generate and understand images, voice, video, 2-D/3-D.
Real-time decision engines
Compliance, business rules, and AI-assisted judgment under load.
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!
A fast PoC is the best alignment.
- 01
Pick a use-case, set the bar
Bring one idea worth exploring. You decide what “good enough to sign” means before we start.
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We build the proof, ship it in days
A fixed-scope PoC on your data, with our tools. Our last one wrapped up in a weekend.
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You sign paperwork on the result
We meet the agreed success criteria, and move to production. No endless back-n-forth reviews.
We sign → straight to production.
You keep the build. $0.
The cost of not starting = no ROI on your AI. This is the way around it.