AI-native engineering consultancy
Engineering, rebuilt around AI.
Glad you're here. Senior engineers, AI in every step of delivery, zero hiring drag. So, what are we building?
How we are different
AI is in how we work, not only in what we build.
Most firms add AI to the product and keep delivering the old way. We rebuilt our delivery around it. Agents draft, test and document under the direction of senior engineers, and every output passes the same review gates as hand-written work. You get the speed of AI with an engineer accountable for every change.
- 01
Frame
We turn your goals, systems and constraints into context packs: architecture notes, domain glossaries and acceptance criteria that engineers and agents both work from.
- 02
Generate
Agents produce first drafts of code, tests, migrations and documentation. Engineers direct the work and make the design calls.
- 03
Verify
Automated tests, eval suites, security scans and human review gate every change. Nothing merges on a model's say-so.
- 04
Ship
Small, reversible releases through CI/CD and feature flags, into your cloud and your repositories.
- 05
Observe
Production telemetry, eval drift and cost per task feed straight back into the next cycle.
What we do
Six services, one way of working.
Build new AI products and platforms, transform the processes and systems you already have, or extend your team with senior engineers. Every service runs on the same AI-native delivery model.
Build
AI-First Product Engineering
Products designed around models from the first sprint: agents, copilots, retrieval and automated workflows, built with evals, guardrails and cost controls.
Build
Platform & Data Engineering
Cloud-native platforms, event-driven systems, payments and data infrastructure that stay reliable at scale and are ready for AI workloads.
Transform
AI Modernization of Legacy Workflows
Digitize paper, email and spreadsheet processes and modernize the legacy systems behind them, using AI to read old code, recover business rules and automate the work.
Transform
AI Strategy & Deployed Consulting
Consultants who work inside your organization to decide where AI pays off, put the governance in place to use it safely, and stay through delivery.
Extend
Forward-Deployed Engineering
Senior engineers embedded in your business who own a problem end to end, from the first conversation with users to the system running in production.
Extend
Staff Augmentation
Senior engineers who join your team, your tools and your rituals, with the AI-assisted habits that make them productive from the first sprint.
Ways to engage
Start small. Scale when it works.
Most relationships begin with a fixed-scope piece of work and grow from there. Every model is monthly or fixed-fee, with no long lock-in.
Readiness sprint
A defined question answered: an assessment, an architecture review or a scored use-case portfolio.
Pilot to production
One use case built on your data and released to real users, against success measures agreed up front.
Forward-deployed pod
A small senior team embedded in your business that owns an outcome end to end.
Team extension
Senior engineers who join your team, work to your plan and report to your leads.
Industries
Built for regulated, high-volume businesses.
We work where correctness, scale and audit trails matter: money movement, marketplaces, enterprise software and operations-heavy businesses.
Fintech & payments
Payment flows, lending and wealth platforms where correctness, latency and audit trails come first.
Banking & financial services
Banks, insurers and NBFCs modernizing core processes under close regulatory scrutiny.
Marketplaces & e-commerce
Two-sided platforms and retailers that live on listing quality, search and conversion.
B2B SaaS
Software companies adding AI to their products and scaling platforms for larger customers.
Logistics & supply chain
Operators where shipments, documents and exceptions move faster than the systems built to track them.
Healthcare operations
Providers and health platforms reducing administrative load while keeping patient data protected.
Why Otorithm
Senior by default. Accountable by design.
Senior engineers only
Every engineer we deploy has shipped and run production systems. Nobody learns the basics on your time.
Payments-grade engineering
Our engineers have built and run payments and monetisation platforms at global marketplace scale, so we design for audit trails, idempotency and failure from day one.
Your code, your cloud
Work lands in your repositories and runs in your accounts. Models run in your tenancy or through enterprise APIs with zero data retention.
Time zones that work
Our delivery centre in Gurugram overlaps most of the working day with Europe and keeps dedicated overlap hours with North America.
Insights
Field notes from production.
How we think about AI engineering, modernization and the way engineering teams are changing.
Engagement models
Forward-deployed engineering or staff augmentation? How to choose
Both put outside engineers in your team. The difference is who owns the outcome, and that decides which one you need.
Modernization
Modernizing legacy workflows with AI: start with the business rules
Most modernization programmes fail on knowledge, not technology. AI changes the economics of recovering what the old system knows.
AI engineering
Evals before demos: how we take AI features to production
A demo shows the best cases. Production sees all of them. An eval suite is how you know which one you have built.
What are we building?
Tell us about the problem. An engineer, not a sales team, will reply.