CIRKEL GROUP AB · ORG. NO. 559584-9711 · STOCKHOLM
AGENTIC ENGINEERING · MMXXVI · BUILDER-OPERATOR
Reply within 4h on weekdays
We set up and run agentic engineering for product teams.
AI that does reliable work inside your real, code-reviewed codebase: spec-driven workflow, review agents and quality gates — the practice the founder works in on Sweden Startup Next and Ignite Nordic. Where your product needs BankID, row-level security or GDPR documentation, we have shipped it before. We set it up, ship through it, and stay with it afterwards.
We start with a paid audit, so the work is planned on facts. Then we install the agentic layer in your repos and ship a real feature through it, or put one AI feature into production. Afterwards we keep it working.
We review your codebase, CI and backlog before anyone writes a prompt. Most teams find the bottleneck is tickets without a definition of done, not the model.
Codebase + CI review
Definition-of-done scoring
Security, RLS & GDPR gaps
AI Act Art. 50 scoping
Build-vs-buy report
02
Build
Agentic layer or AI feature, 4–8 weeks.
Rules, skills, specialist and review agents, and quality gates installed in your repos. We ship one real feature through the workflow and train your team to steer, review and approve. Or we put one AI feature into production with evals, logging, BankID and an access model.
Rules, skills & agents
Review agents on every PR
Quality gates in CI
One feature shipped through it
Team trained to steer
Differentiator
03
Run
We keep it working.
Models change every month and quality gates stop working without anyone noticing. On the retainer we keep gates green, update agents and rules, monitor AI features in production and answer incidents, with a 4-hour weekday response in writing.
Gates kept green
Agents & rules updated
AI feature monitoring
Incident response P1–P3
4h weekday response
04
Ventures
Products on the same stack.
We build our own products with the same workflow we sell: Autofixter, IndoBridge and Miss India Kitchen. Selected founders can co-build with us, or fund an MVP on the same stack.
Autofixter
IndoBridge
Miss India Kitchen
Co-build partnerships
Customer-funded MVPs
Selected work
Where the practice runs.
Two products we own, and two platforms where the founder works as a contributing engineer. Each role is stated as it is.
Selected work
Where the practice runs.
Two products we own, and two platforms where the founder works as a contributing engineer. Each role is stated as it is.
Every engagement walks the same four steps: a capped audit before any fixed price, working code through your own review process, and we're still around after go-live.
01Intro
Intro call
Free, 30 minutes. We look at your repos, CI and backlog and give a candid read of where AI can carry work today. You get a written summary the next working day, yours to keep.
You get
30-min video call
Repo & CI first read
Written summary
Yours to keep
02Audit
Readiness audit
1–2 weeks at 900 kr/h, with a cap agreed before we start. Codebase and CI review, definition-of-done scoring, security, RLS and GDPR gaps, and a build-vs-buy recommendation. The fee is credited against a build.
You get
Written report
Cap agreed upfront
Prioritised gap list
Credited against a build
03Build
Build
We install rules, skills, agents and gates in your repos and ship one real feature through them together with your team. Daily updates, demos on a real environment, no black-box handover.
You get
Agentic layer in your repos
One feature shipped
Team trained
Fixed module price
04Run
Run
On the retainer we keep gates green, update agents as models change, monitor AI features in production and answer incidents. You always know what you are paying for.
You get
Monitoring
Agent & rule updates
Monthly report
4h weekday response
Pricing
Three ways to start.
Every engagement starts with a free intro call. The audit is the first paid step, and its fee is credited against a build.
Tier 01
Intro call
Where to start.
Free · 30 min
Video call. We look at your repos, CI and backlog and give a candid read of where AI can carry work. Written summary the next working day.
1–2 weeks. Codebase and CI review, definition-of-done scoring, security, RLS and GDPR gaps, build-vs-buy. The report is yours to keep, and the fee is credited against a build.
Agentic layer installed and one feature shipped through it, or one AI feature in production. Then operations: gates, agents, monitoring and incident response, with a 4-hour weekday response.
Many AI projects stop at demos and glue code. The founder works in multi-developer codebases where agents do real work under review, and that is the practice we set up for you.
Own product · built and run by us
Miss India Kitchen · iOS
Home-cooked Indian food — Stockholm
01
We run it.
Most teams get a setup and a handover. The person who sets up your agentic layer is the one who answers incidents after go-live, under a written SLA.
02
It runs where the founder works.
The founder uses the practice in production work in two multi-developer, code-reviewed codebases: Sweden Startup Next and Ignite Nordic. Not a demo, not a slide deck.
03
Transparent pricing.
900 kr/h, capped audits, fixed build modules and retainer tiers, all published. No inflated quotes, no surprises.
04
Controls you can show an auditor.
Row-level security, access model, data map, DPA and AI disclosure, delivered as documents rather than promises.
About
A small Stockholm company, built around one practice.
Cirkel Group AB is a privately held Swedish company founded in 2026. The founder works as Agentic AI Developer on Sweden Startup Next and Ignite Nordic, and builds our own products with the same workflow. No subcontracting, no offshoring.