Every engagement starts with your problem — not our preferred tech stack. We pick the right tool, scope the right solution, and build it to a standard your team can maintain and extend long after we've handed it over.
Production-ready · Full code ownership · Clean documentation · No dependency on us
An AI agent isn't a chatbot with a smart prompt. It's a system capable of perceiving inputs from multiple sources, reasoning through multi-step tasks, using tools, and taking actions — continuously, reliably, and in ways that integrate with your existing operations.
We design and build agents for businesses that have recurring, complex tasks where manual handling is creating a bottleneck. Agents that qualify leads before your sales team starts their morning. Agents that process documents, extract structured data, and route approvals. Agents that monitor internal systems, detect anomalies, and surface them before they become incidents. Agents that handle tier-1 customer support end-to-end and escalate intelligently.
The difference between an agent that runs in production and one that gets shelved is implementation quality — and that's what we specialise in.
Tech & approach:
We work across leading AI model providers and agent frameworks. We build with reliability, observability, and graceful failure in mind — because an agent that breaks silently is worse than no agent at all. Every system includes logging, monitoring hooks, and clear escalation paths.
Right for you if:
You have a process that happens repeatedly, involves reasoning or judgment, touches multiple tools or data sources, and costs your team significant time. If that's true and you're doing it manually, an agent is likely the right answer.
Automation doesn't always need intelligence. Sometimes the most valuable thing we can build is a reliable pipeline: data comes in, gets processed correctly, gets sent where it needs to go, and gets logged — every time, without someone managing it.
We map your existing workflows, identify every manual step that shouldn't be manual, and replace it with auditable, maintainable automation. We integrate across your existing tools — CRMs, ERPs, accounting platforms, communication systems, document stores — and connect them in ways that eliminate the gaps where data gets lost and errors get introduced.
When a workflow involves unstructured data, variable inputs, or decisions that require interpretation, we layer AI on top. Document extraction, classification, anomaly detection, intelligent routing — AI-enhanced automation that handles real-world messiness, not just the clean cases.
Tech & approach:
We audit your current workflow before we suggest a solution. We distinguish between what needs to be automated and what needs to be redesigned first. We build for auditability — every action is logged, every exception is surfaced, every pipeline can be inspected and debugged.
Right for you if:
Your team is spending hours per week on tasks that follow a pattern — copying data between systems, processing documents, generating reports, chasing approvals. If it's repetitive and rule-based (even loosely), it's automatable.
There's a difference between an application that uses AI and an AI-powered application. The former adds a chatbot or a recommendation widget to something that was built without it in mind. The latter is designed from the ground up with intelligence at the core — where the AI capability is why the product exists.
We build both, but we're particularly good at the latter. Applications where users can ask questions of their own data in plain language. Platforms that surface predictions, risks, and recommendations before users have to think to ask. Internal tools that adapt to how a team works rather than forcing a team to adapt to a rigid interface. SaaS products where AI is the differentiator that justifies the price point.
We scope these engagements carefully — because AI-powered products require more upfront design thinking than traditional software. The interaction model, the data architecture, the feedback loops, the fallback behaviour — all of it needs to be thought through before the first line of code.
Tech & approach:
We start with the user problem and work backwards. What decision does this product need to support? What does the user need to understand or do? What does AI enable here that wasn't possible before? The answers to those questions shape the architecture — not the other way around.
Right for you if:
You're building a product where AI capability is a core part of the value, not an add-on. You want software that's well-architected from the start, not something you'll need to rebuild in 18 months when the AI layer doesn't scale.
Not every project needs AI. Sometimes the most valuable thing we can build is clean, well-structured software that does exactly what it needs to do, works reliably, and gives your team a foundation to build on.
We do full-stack engineering across the modern stack — React, Next.js, TypeScript, Node.js, Python, PostgreSQL, and more on the backend; iOS and Android on mobile. We build MVPs for founders who need to move fast and mature platforms for companies who need to move right.
Our engineering standard is the same regardless of whether AI is involved. Clean architecture, proper testing, readable code, documentation that actually helps. We don't take shortcuts that cost you in six months. We don't build dependency on our own proprietary layers. We hand over code that another engineer can pick up and understand without calling us.
Tech & approach:
We begin with a thorough scoping conversation — because the worst thing we can do is start building the wrong thing quickly. Once scope is agreed, we move fast and communicate clearly. You're never left wondering where the project is.
Right for you if:
You need software built properly — not outsourced to the cheapest bidder, not cobbled together with tools that won't scale. You want a team that takes engineering seriously and hands over something your future team can maintain.
The challenges that benefit most from what we build — repetitive processes, unstructured data, complex decisions, and manual coordination overhead — exist across almost every industry. We've worked in:
document processing, compliance workflows, reporting automation, risk flagging
end-to-end process automation, supply chain visibility tools, exception handling systems
AI feature development, embedded intelligence, analytics layers
customer support agents, order management automation, personalisation engines
internal knowledge agents, onboarding automation, policy management systems
research automation, document review pipelines, client reporting tools
patient communication systems, administrative automation, compliance documentation (where regulation permits)
If your industry isn't listed, it doesn't mean we can't help. It means we haven't listed it. Tell us the problem — we'll tell you if we can solve it.
We don't have a preferred stack we fit every project into. We pick the right technology for the problem. That said, here's where we spend most of our time:
OpenAI, Anthropic Claude, Google Gemini · LangChain, LlamaIndex · RAG architectures · Vector databases (Pinecone, Weaviate, pgvector) · Fine-tuning and prompt engineering · Multi-agent orchestration
n8n, Make (Integromat), custom pipeline engineering · REST and GraphQL APIs · Webhook orchestration · ETL pipeline design · Document parsing (PDFs, emails, forms)
React · Next.js · TypeScript · Tailwind CSS · Component architecture built for maintainability
Node.js · Python (FastAPI, Django) · PostgreSQL · Supabase · Redis · Cloud deployment (AWS, GCP, Azure, Vercel)
React Native · iOS (Swift) · Android (Kotlin)
We use the best tool for the job. We don't lock clients into proprietary infrastructure. Everything we build runs on standard, well-supported platforms you can move to another team without calling us first.
Best for well-defined problems with clear deliverables. We agree on scope, timeline, and price upfront. You get predictability. We get to move without scope creep uncertainty. Works well for automation pipelines, agent builds, and defined application features.
Best for evolving products where scope changes as you learn. We work in short sprints with clear deliverables per cycle. You can adjust direction between sprints. Billing is milestone-based, not open-ended. Works well for AI-powered applications and ongoing product development.
Best for product or engineering teams that need specialist AI capability for a specific module, feature, or integration. We embed cleanly, build what's needed, document thoroughly, and hand over — no long-term lock-in.
Best for teams that need help thinking through the architecture before committing to a build. We run a focused discovery and scoping engagement, give you a clear technical plan, and then build it — or give you everything you need to build it with another team.
Most clients come to us knowing they have a problem — not knowing exactly which solution is right. That's what the first conversation is for. Tell us what's broken, what's slow, or what you're trying to build. We'll tell you honestly what makes sense.