SDD
Spec-Driven Development
We write the spec first, then hold generated code to it. When requirements change we regenerate against the new spec instead of patching, so the codebase never drifts from what was agreed.
AI-first engineeringSoftware, rebuilt on an
Software, rebuilt on an
AI-first foundation.
We find the places where your software delivery loses time and money, then rebuild them around AI. An engagement starts with a two-week audit and ends with automation running in production — not with a slide deck.
180+ products shipped6 years in business4.9/5 average rating
app.onomica.io / pipeline
LiveEngagement pipeline
3 workstreams · Northwind Retail · updated just now
AI Audit
01 / audit · repos, pipelines, tickets
Workflow Automation
02 / automate · CI, review, testing
Infrastructure Readiness
03 / infra · model access, cost control
Handover & monitoring
04 / handover · runbooks, alerting
How we build
Six practices we bring to every engagement — and what each one actually buys you.
Agentic flow
Agentic Workflows
Pipelines of AI agents that plan, execute and check work in sequence. Your people review the results and make the calls instead of retyping data between tools.
RAG
Retrieval-Augmented Systems
We wire models into your documents, tickets and databases, so answers come from your company's knowledge instead of a model's guesswork.
MCP
Tool & System Integration
One standard protocol between models and your CRM, ERP and CI/CD. Swap a tool or a model later and the integration survives.
Evals
Evals & Guardrails
Before an AI behavior ships, it has to pass a test suite with criteria we agree on together. Anything that can't be measured doesn't go to production.
Context eng
Context Engineering
Prompts, memory and data flow designed as one system. In our experience this is most of the difference between a flashy demo and something still working in month six.
Project brief
Tell us about your project in 60 seconds
1Goal2Type3Timing4Contact
What's your goal?
How transformation runs
01
Audit
Two weeks inside your workflows, repos and tickets. You get a ranked map of automation targets with the expected saving on each.
02
Blueprint
Target architecture and a rollout order: what changes first, what it depends on, and what each step costs.
03
Automate
We build and ship the pipelines, agents and integrations from the blueprint, then run them next to your team until they hold up under real load.
04
Scale
Handover, training and monitoring, with one goal: you stop needing us.
The edgeAI-native from day one.
AI-native from day one.
Idea to production, one team.
We spent years shipping software the traditional way before building Onomica — a company that's been AI-first from day one, because bolting AI onto old habits never really worked. The same ten people take a raw idea through architecture, build and production; between us we've done it in fintech, logistics, retail, healthcare and manufacturing.
Day 1
AI-first since founding
Every process, tool and hire here was chosen with AI already in the loop. There was never an old way of working to unlearn.
Idea → prod
Full path, one team
You explain the business problem once. The people who hear it are the same ones who design, build and deploy the answer.
Industries
Cross-industry depth
Between us we've shipped systems in fintech, logistics, retail, healthcare and manufacturing. Patterns from one industry keep paying off in the next.
Tech edge
Always on the frontier
New models, protocols and tooling get tried here within weeks of release. Whatever survives our own daily use is what we bring to client work.
−70%
Delivery time, recent projects
−65%
Development cost, recent projects
10
Senior engineers, no middle layers
Measured on our own engagements so far. The audit estimates what the same approach does for your stack.
Everything covered.
One team.
Every discipline a project needs sits inside the same ten people: project management, product, development, data, infrastructure and QA. Nothing is subcontracted, so nothing gets lost between vendors.
A
Project Management
Scope, cadence and delivery, run by people who ship AI systems every week.
B
Product & Design
Strategy, UX and interface work that turns a business idea into a product worth validating.
C
Development
Spec-driven, agent-assisted engineering that holds up in production.
D
Data & ML
Pipelines, models, RAG and evals. The intelligence layer, built and then actually measured.
E
Infrastructure
Cloud, CI/CD and monitoring, from the first deploy through day-to-day operations.
F
QA
Automated test suites, AI-behavior evals and release gates on everything we ship.
What we build with
Full-stack in the literal sense: the same ten people cover backend, web, mobile, infrastructure and the AI layer on top. This is the stack we're fastest in.
Backend
PHP & Go
Where most of our backend hours have gone: APIs, distributed systems and integrations that have to survive years of real load. Deliberately boring technology — this is the layer that isn't allowed to be exciting.
Web & mobile
TypeScript, Swift & Kotlin
Web frontends in TypeScript, native iOS and Android in Swift and Kotlin — built by the same people who build the API underneath, which is why the two rarely argue.
DevOps
Cloud, CI/CD & IaC
Containers, infrastructure as code, pipelines and monitoring. Whatever we set up for you is something we already run ourselves; we're our own first customer.
AI / ML
Models, Agents & RAG
Frontier model APIs in production, agent pipelines, RAG and vector search — plus the evals that tell us honestly whether any of it works.
Scope builder
Pick your features and we'll scope it
Tell us roughly what you need — the more boxes you tick, the sharper our proposal.
Our team
The people who'll build your project
Ilya Mikhailov
Co-founder, CEO
Victoria Olshevskaya
Art Director
David Sergeenko
Tech Lead
Vasilisa Orlovskaya
Head of Marketing
Now booking 2026 projectsTell us about
Tell us about
your project
Drop your details and we'll get back within one business day with next steps and a proposal outline.
hello@onomica.io
Remote · GMT-friendly hours