One team that builds with AI as freely as it builds for it. Agents, deep product integration, web and mobile apps, and the servers, DevOps and security around them.
Software that runs itself
Agentic AI
Agents with tools, memory and guardrails.
Engineering
Everything around the model, one team.
Oneteam,fromthemodeltotheappstore
AgenticAI,servers,webandmobile,DevOpsandsecurity,builtbyengineerswhowritewithAIeverydayandusetheagentstheyship.
- Agentic AI
- Harness · Agents
- AI in your product
- Deep integration
- Web & mobile
- Web · iOS · Android
- Servers & APIs
- Build · Deploy
- DevOps & security
- CI/CD · AppSec
- Protocols & packages
- MCP · npm
Whatweship
Six shapes most engagements take. Choose one and watch an agent move through it: a plan, the tools it calls, a person where it matters, a result.
Ship a release note from the merged pull requests
- steps
- 0
- tool calls
- 0
- human checkpoints
- 0
How we work
Fromthefirstwhiteboardtotheon-callrota
Threephases,eachendinginsomethingyoucanopenandadecisionyoucanmake.Nophasestartswithoutthepreviousonepayingforitself.
Discover
Weeks 1–2
We sit down with the people who own the problem, map goals, data and constraints on one whiteboard, and build the riskiest slice first.
You get
- A written scope with risks and cost you can sign off on
- A running prototype of the hardest part, not a deck
- A go / no-go decision, either way
- How
- WorkshopsWith the people who run the process, not only the people who buy it.
- PrototypesOn your real data wherever we can get it, so results are not staged.
- RoadmapsEach item costed and ranked by risk, so cutting scope is an easy call.
Build
Two-week sprints
One team writes the agents, the backend, the apps and the pipelines, with AI in the loop of our own work. Every sprint ends with something you can open.
You get
- A demo every two weeks on a staging URL
- Code, models and security reviewed before merge
- Model quality measured against evals, not assumed
- How
- SprintsYou set the priorities for the next cycle after every demo.
- ReviewsTests, security scans and a human read on every change.
- EvaluationScenario suites rerun whenever a model or prompt changes.
Run
After launch
Launch is a step, not the end. We watch latency, cost and drift, keep a named engineer on the line, and ship improvements as usage teaches us.
You get
- Latency, cost and drift on one screen
- A named engineer on the line, no ticket queue
- Improvements shipped as usage teaches us
- How
- MonitoringAlerts on latency, spend and answer quality, not only on uptime.
- SupportYou write to the people who built it, not to a help desk.
- IterationReal usage goes into the backlog and ships in the next cycle.
Whoyouworkwith
- Founder-led
- The engineer who answers your email is the engineer who builds. No account layer in between.
- An EU company
- Pineaccord Unipessoal Lda is registered in Portugal and works with clients remotely.
- AI in our own workflow
- We build with agents every day, so what we ship is what we use, not a trend we resell.
- One team, end to end
- Model, backend, web, mobile, DevOps and security from the same people. Nothing lost between handoffs.
Bring us the system you wish ran itself.
Oneemail,inyourownwords:thesystem,thepeoplewhouseit,andwhatdonewouldlooklike.Afewsentencesisplenty;wewillaskfortherest.
- Read by an engineerThe people who would build it read it. No sales queue.
- Questions within two working daysNot a quote. We ask what we need to understand it.
- A short discovery, if it makes senseOne to two weeks that end in a scope you can sign.