Enterprise AI Engineering
Regulated environments, air-gapped AI, legacy systems, real-time decisions, and more. We're sharing what we built, and what it changed.
Modern AI is magic. We will ship a working PoC in weeks days.
Reads, redlines, and edits 200-plus-page legal documents in place inside Word, holding context across the whole file over multiple passes. It competes with Harvey and Legora.
Multi-pass edit loop, whole-file context
NLP-driven guideline management that builds configuration from documents and plain language, plus fully digital compliance checks against regional codes. Both run inside the product itself.
“Superlinear became a force multiplier for us at Saltmine; streamlining engineering, cutting costs, and helping us win clients.”
Agentic pipeline, embedded in-platform
One interface now answers questions and acts across internal systems, launching campaigns, sending email, running HR processes, and clearing financial approvals.
One interface, fan-out to legacy systems
Model delivery with a continuous retraining loop for autonomous vehicle fleets, deployed in private, on-prem environments where the data can't leave the building. Public-SaaS defaults were never an option, so the constraints shaped the architecture from the first sprint.
Retraining loop, inside the boundary
Runs a revenue-based finance and inventory-financing program end to end: eligibility gating, cash-flow underwriting, capital sizing with revenue-sweep calibration, and a probation ladder into inventory financing.
Decision pipeline, gate to allocation
A sample of other production and pilot work. Same discipline. Same impact.
Split a monolith into multi-tenant microservices, exposed analytics as an MCP server, and built a plain-language what-if engine. Advisors convey portfolio strategy live on call; operations scaled from two people to hundreds.
Re-architected the data layer to sustain 10M daily users and close to a million requests a minute, launched alongside the BHIM/UPI integration. It now underpins the company's entire AI portfolio.
Custom video, voice, and interactive journeys for a major streaming platform's launch campaigns.
Photorealistic avatars with sub-1.5-second voice, answering support live over video.
Validates mortgage marketing creative against regulatory guidelines before it ships.
AI property tours with a live voice assistant that answers questions during the walkthrough.
A six-language voice agent for a national emergency line, handling 8–10K calls a day and filing an automated incident report after every call.
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.
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.
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.
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.
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.
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!
Bring one idea worth exploring. You decide what “good enough to sign” means before we start.
A fixed-scope PoC on your data, with our tools. Our last one wrapped up in a weekend.
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.