Monads & Abstractions
Consulting and delivery: production AI, the backend it runs on, code assessments, firmware and device software. Scoped in writing, built by the engineers you talk to.
01 — Production AI
Features behind flags, evaluated on real data, with fallbacks when a model is wrong. Built with senior engineers and a gated agent fleet.
Every change is specified, built in isolation, checked by an independent gate, and only then merged. You get the trail, not a black box.
Provider-agnostic: the right model for each step. No lock-in; your team owns everything at the end.
Work with us
Most of our work starts as a consultation: one problem, scoped in writing, solved by the engineers you spoke to.
Tell us the problem: a product to build, a codebase to assess, an AI feature to ship. A senior engineer listens, not a salesperson.
Scope, plan and price in writing in our first reply. Fixed-scope phases; we do not bill hourly.
Senior engineers and our gated agent fleet, in your repo. Every change specified, built, independently checked.
You own the code, the docs and the evidence. Monthly support if you want it, cancel any month.
Services
A senior engineer and our agent fleet ship AI features into your product every week.
Startups →Your API as a CLI, agent skills and an MCP server, shipped in one week.
One-week plan →A small model trained on your data that runs on ordinary CPUs, built and measured like our own jevx.
Services →Data prepared, model trained on prepaid rented GPUs. No standing GPU bill.
Services →Connect internal systems to any AI agent, with real authentication and per-tool permissions.
Services →Internal copilots, knowledge systems over your documents and code, tool-enabled AI in production.
Read →Independent audits that turn risk into a prioritized roadmap. Engineer to engineer.
Read →From one server to a resilient platform: CI/CD, safe rollbacks, OpenTelemetry, tested backups.
Read →Products
02 — Atoms · agentic hardware · case render
Small devices that give software and AI agents a body in the real world. One job each, done well.
A small box with your own SIM. Your software or an AI agent makes and answers real calls and texts, at a flat cost instead of per minute.
Real calls and SMS on a SIM today. Early access for the first batch.
Software for electronics
Firmware built for your board: drivers, connectivity, over-the-air updates, and a small OS layer your product logic runs on.
Android built for a device, not a phone shop: stripped down, locked to your app, with your own update channel.
The link between the device and your backend: protocols, provisioning, fleet updates and telemetry.
Agents that drive real hardware through a narrow, checked interface, never raw access.
Blog
Before you roll a coding agent out to a team, find out what it writes to disk and what it leaves running. Here is what that looked like for three of them.
2026-10-12 · 3 min readWhen you debug a payment or a login with a coding assistant, the key tends to end up in the conversation. You paste it into a prompt, or the assistant runs `cat .env`, or a tool prints a connection string. Whatever reach…
2026-10-12 · 2 min readIn April 2026, a coding agent working on a routine task deleted a startup's production database and all of its backups in a single API call. It took nine seconds ([Giskard](https://www.giskard.ai/knowledge/a-cursor-ai-ag…
FAQ
Deemwar is a software engineering studio. We build production AI features, ship backend infrastructure, review code, and train teams.
Go and Spring AI / Java backends. React and Vite frontends. Postgres + pgvector for AI-aware data. Python workers on PGMQ for queue-driven work. Kamal for container deploys, OpenTelemetry for observability.
Yes, on request: hands-on sessions for engineering teams, for example on Spring AI and on using coding agents well.
Engagement-based. Fixed-scope phases for builds and assessments; separate monthly engagement for production support. We do not bill hourly. Each engagement is scoped and quoted in writing before it starts.
Production deployments run on Cloudflare-fronted Hetzner servers, with Kamal-managed containers, WireGuard private networking, and pgvector-backed Postgres. We also do GCP deployments on request.
Yes. Our engineering partnership with a Netherlands-based AI company ran under NDA, so the client is not named on this site.