Nascyn Tech designs, builds and operates complete software systems: web platforms, mobile apps, backends and the autonomous agents that run the work inside them. Prototype in weeks, production with guardrails, evaluation and observability from day one.
We take products from blank page to production and keep them running. Every engagement is staffed by senior engineers who own architecture, delivery and the reliability of what ships.
Autonomous and semi-autonomous agents that plan, call your tools, and complete real work, with the orchestration, memory, permissions and audit trail that make them safe to put in front of a business process.
Chat, search, copilots, extraction and generation features built on retrieval you can trust, then measured with eval suites so quality is a number, not a vibe.
Dashboards, portals, admin tools and SaaS products, typed end to end, fast on real devices, and structured so the next feature is cheap to add.
Cross-platform apps with native feel, built in Flutter from MVP through store release, analytics and the long tail of iteration.
APIs, event pipelines and data models that hold up under load, deployed on infrastructure you own, with cost and latency treated as features.
The unglamorous half that decides whether AI survives contact with production: tracing, regression gates, cost control, fallbacks and on-call runbooks.
Most projects touch three of these at once. Tell us the outcome you're after and we'll map the shortest path to it.
A demo that works once is not a system. We build agents the way we build any critical service: with defined boundaries, typed tools, tests, permissions and a way to see exactly what happened on every run.
Every agent gets an explicit job, an explicit toolset and explicit limits. Autonomy is a dial we turn up as confidence is earned, not a default.
Reliability comes from well-designed tools and clean context, not clever wording. We build the API surface the agent needs, then keep it small.
Golden datasets, task-level scoring and regression runs in CI. When a model or prompt changes, you see the delta before your users do.
Full traces of reasoning, tool calls and outcomes. Approvals where money, data or customers are involved. Nothing happens that you cannot replay.
The best first agent is narrow, high-volume and annoying to a human. We help you pick it, ship it, and only then expand the surface area.
Scope your first agent →Triage tickets, reconcile records, chase exceptions, prepare the work a human approves.
Extract, classify, cross-check and route documents with citations back to the source.
Support and sales agents grounded in your data, with escalation paths that work.
Code, data and release chores handled by agents that live inside your existing pipelines.
Continuous scanning of markets, competitors or systems, summarised on your schedule.
Detect drift, fix records, and flag what needs a human before it reaches a report.
You see working software every week. Scope, risks and trade-offs stay in the open, so decisions get made early rather than discovered late.
Goals, users, constraints and the one metric that decides whether this worked.
A thin, real slice in weeks, enough to prove feasibility and kill the wrong ideas cheaply.
Weekly demos on a staging environment, with tests, evals and review as part of the definition of done.
Security review, load and cost profiling, failure modes, rollback plan, runbooks.
Monitoring, iteration and knowledge transfer, or we hand over cleanly and you run it.
We choose technology you can hire for and we can defend in a review. No lock-in to a single model provider, no framework of the week.
Model-agnostic by design: Claude, GPT, Gemini and open-weight models sit behind an abstraction so you can switch on price, latency or quality without a rewrite.
Fixed scope where the outcome is clear, a dedicated pod where it isn't. Start small: most clients begin with a sprint and expand once they've seen how we work.
Two to three weeks to answer one question: is this worth building, and what's the fastest credible path? You leave with a working prototype, not a slide deck.
End-to-end delivery of a product or agent system. Defined milestones, weekly demos, and a production launch with everything needed to run it.
Senior engineers working inside your team, your board and your standups, for roadmaps that keep moving after launch.
No. We use providers and configurations where your data is not retained for training, and we can deploy open-weight models inside your own cloud when data residency or compliance requires it. Data handling is agreed in writing before any integration work starts.
That's exactly what the Discovery Sprint is for. We look at where your team loses hours, score candidates on impact and feasibility, and build the strongest one as a prototype. If nothing clears the bar, we'll tell you that instead of selling you a build.
Layers, not hope. Agents only get the tools their job requires, destructive actions run behind approval gates, inputs and outputs pass policy checks, and every run is traced so you can replay exactly what happened. Autonomy expands only after the evidence supports it.
You do. Code lives in your repositories, infrastructure runs in your cloud accounts, and everything is documented for handover. There is no proprietary runtime you have to keep paying us for.
Frequently. We join existing repos, follow your conventions and review process, and pair with your engineers so the knowledge stays in-house. Many engagements start as an audit of what's already there.
Discovery calls happen within a few days of your message. Sprints typically kick off within one to two weeks depending on current capacity. Send a note with your timeline and we'll tell you honestly what's available.
One call, no pitch deck. We'll tell you what we'd build first, roughly what it takes, and whether we're the right team for it.