We work across the full stack of modern software: from AI integrations bolted into existing platforms, to autonomous agents that do real work, to back-office automations and full product builds. One team, one bar, no hand-offs.
LLM apps, retrieval, fine-tuning, and AI features bolted into your existing product, without breaking what works.
We design and ship production-grade AI features into existing software. From RAG pipelines on your private data, to fine-tuned domain models, to embedded chat surfaces and inference cost engineering, we treat AI like the rest of your stack: testable, observable, on-budget.
Chat, search, summarization, classification, and content workflows on top of OpenAI, Anthropic, or self-hosted models.
Vector pipelines on your private data with citations, evals, and the right hybrid-search mix.
Domain-specific small models, with rigorous eval harnesses you can run in CI.
OCR, image understanding, document AI, and voice, production-deployed.
Autonomous and multi-agent systems that take real work off your team: ops, support, research, sales, internal tools.
Agents are software that decides. We build agentic systems that do real work: reading inboxes, drafting outreach, triaging tickets, running research loops, or orchestrating multi-step backend workflows. We start with one job-to-be-done, wire in real tools, and bake in evals so the agent gets measurably better over time.
One agent, one clear job: research, outreach, triage, QA. Tool-using, evaluated, deployable.
Planner / worker / critic architectures for tasks that benefit from specialization.
CRMs, ticketing, Slack, calendars, internal APIs, wired through MCP or custom tool layers.
Trace every step, score every run, ship improvements with confidence.
Workflow, data, and back-office automations that replace spreadsheets and manual ops with reliable pipelines.
Not every automation needs AI. Sometimes it just needs a properly built workflow. We design back-office automations end-to-end: data ingestion, ETL, integrations, scheduled jobs, idempotent retries, and dashboards your team will actually look at. Reliable, monitored, owned.
From form-to-Sheet hacks to durable Temporal / Airflow workflows, picked to fit the scale.
ETL/ELT, warehouses, dbt, reverse-ETL: clean data into the systems that need it.
Connecting the 20 tools your business actually runs on. CRMs, billing, support, ops.
Dashboards, admin panels, and ops UIs, replacing spreadsheets with software your team trusts.
Web, mobile, backend, infra: production-grade product teams on demand. From zero-to-one to scale.
When you need a real engineering team (designers, frontend, backend, infra, QA) embedded on your problem for a quarter or two, we drop in as one. We ship product. From founding-team MVPs to platform rebuilds to last-mile launches, we work the way modern product teams do: weekly demos, two-week cycles, real users in week one.
React, Next.js, Django, React Native, Swift, Kotlin, picked for the job, not the resume.
Backend services, internal platforms, public APIs, designed to scale and instrumented from day one.
AWS, GCP, Vercel, Fly, Railway, Kubernetes: production environments your team can operate.
Weekly demos, two-week cycles, design + engineering in the same room. Product, not "delivery".
Two weeks. Real users, real constraints, real numbers.
We start with a tight discovery loop, talking to your team, your users, and your data. We come back with a one-page brief: what we are building, what we are explicitly not building, the technical bets, and the timeline.
Working software in your hands, fast.
We build the riskiest 20% first, the part that proves the whole thing works. You see real product in three to four weeks, on a staging URL you can poke.
Two-week cycles, weekly demos, no surprises.
Production engineering: design, frontend, backend, infra, QA. Every Friday you see a demo. Every two weeks you decide what ships next. Nothing is ever opaque.
Launch, monitor, iterate, hand-off.
We go live, instrument everything, watch the first users, and stay close. When the platform is stable, we either retainer for ongoing work or do a clean handoff to your in-house team.
Scoped, priced, dated.
A defined outcome with a fixed scope and a fixed date. You know exactly what you are getting and when.
A dedicated pod, every month.
A dedicated team (designer plus engineers) embedded for a quarter or longer. Predictable monthly cadence, flexible scope.
Experienced engineers, your roadmap.
One to three experienced engineers join your team for the duration. Daily standups with your eng manager, weekly with us.
Most engagements kick off within two weeks of a signed scope. We sometimes have a same-week slot for a discovery sprint.
Standard practice. We can also sign yours.
Our HQ is in Indore, India. The team is distributed and we work with clients across continents (India, Middle East, UAE, Europe, Asia, the Americas). Lead engineers overlap your working hours, whichever timezone you are in.
You do. Always. We deliver clean repositories with documentation, CI, and a runbook you can hand to anyone.
Yes. We slot in. Most of our retainers and staff-aug engagements work alongside in-house teams. We adapt to your process, not the other way around.
Two-week cycles mean we can absorb change cleanly. Bigger scope changes become a re-scoped phase. No surprise invoices.
Retainer support is standard for 60-90 days after launch, then optional ongoing. We do not lock you in.
Mostly modern web/mobile: Python (Django, FastAPI), TypeScript (React, Next.js), React Native, Swift, Kotlin. Cloud: AWS, GCP, Vercel, Fly, Railway. AI: OpenAI, Anthropic, open-weight models on serverless or self-hosted.
