We start with the question that matters to your business, then build the AI that answers it every day.
We're an AI and software engineering company. We find where AI pays, then build the agents, and the software around them, that deliver it.
designing and engineering software for businesses
from strategy to the systems people use every day
in your own cloud tenancy, in the region you choose
of the code, prompts and evals are yours
Senior advisors who have shipped production AI work with your leadership to pick the few bets that move the P&L, and to kill the ones that won't.
We design, build and run AI agents that plan, use your tools and act inside your systems, with guardrails and a human checkpoint wherever the stakes call for one.
Web, mobile and enterprise applications, designed and engineered by the same team, so agents have solid systems to work in and your people have products they want to use.
Engage us for one, or for the whole path from strategy to a running product. Every service ends in something you own: a document, a codebase, or a running system.
A prioritised AI roadmap tied to your P&L: readiness audit, use-case portfolio and build-vs-buy calls.
Learn more →Copilots, RAG and LLM features your customers actually use, grounded in your data and measured in production.
Learn more →Reliable agents that take real work off your team's plate, with guardrails, handoffs and human checkpoints.
Learn more →Forecasting, vision and decisioning models built on your data, for where off-the-shelf stops fitting.
Learn more →Pipelines, deployment and monitoring that keep models accurate, fast and boring, in your cloud.
Learn more →Risk frameworks, compliance and guardrails that let you move faster, because the rules are clear.
Learn more →Web platforms, portals and internal tools, designed, built and supported for the long run.
Learn more →Native and cross-platform apps your customers keep, connected to the systems behind them.
Learn more →Research-led interfaces and design systems that make complex products feel simple.
Learn more →Cloud architecture, pipelines and modernisation that make shipping routine, in your cloud.
Learn more →APIs and connectors between ERP, CRM and legacy systems: the plumbing agents depend on.
Learn more →Independent advice on architecture, platforms and vendors, from people who build.
Learn more →Plans the task, breaks it into steps and routes each one to the right model: fast models for routine calls, stronger ones where reasoning matters.
RAG over your documents and data, so answers are grounded in your policies, catalogue and history rather than the model's guesses.
Scoped access to your ERP, CRM, ticketing and internal APIs, including over MCP, with least-privilege permissions per agent.
What the agent should remember across steps and sessions, and what it must forget, designed with your data-retention rules.
Policy checks, spend and action limits, and approval gates, so people sign off on the decisions that carry real risk.
Test suites before launch; traces, quality scores, cost and latency after it. You can see why an agent did what it did.
An example: a refund agent built for one client's process. Every agent we build is a system, and these are the six parts we design, test and operate in each one.
The advantage now goes to companies that put it into daily operations: safely, reliably, at scale. Not another pilot. Not another deck. Systems that run, learn, and earn their keep every single day.
That's the work we do. Awesomist →We don't sell packages. Each engagement is scoped with you, from what you need and what you already have, with a clear deliverable and a clear exit. Most clients start in one of these three ways.
For leadership teams deciding where AI, agents and software should go first.
You getFor a defined need, from one use case to a full system, designed and built to your requirements and taken all the way to live.
You getFor systems already live that need to stay accurate, safe and cost-efficient.
You getWe work where operations are complex and the data is sensitive.
Demand forecasting, replenishment, pricing and customer service at store and SKU level.
KYC, document processing, credit operations and service agents under strict audit.
Clinical documentation, claims, scheduling and patient communication, with privacy by design.
Citizen services, case handling and bilingual knowledge assistants, deployed in-country.
Quality inspection, maintenance prediction and dealer and service-network support.
Network planning, exception handling and shipment-status agents across partners.
Agents act on your behalf, so control has to be part of the design from day one, not added after an incident.
Everything runs inside your cloud, behind guardrails, and high-impact actions pass through a person you choose.
Deployed into your tenancy, in-region where residency applies. Your data isn't used to train shared models.
Each agent gets only the tools and data it needs, with scoped credentials and action limits.
Approval steps for high-impact actions, a kill switch, and clear escalation paths.
Task-specific test suites, red-teaming and regression checks on every release.
Full traces of what each agent saw, decided and did, retained for review and audit.
Controls mapped to your data-protection law and sector regulator, using NIST AI RMF and ISO/IEC 42001 as reference frameworks.
A chatbot answers questions. An agent completes tasks: it plans the steps, uses your systems through approved tools, checks its work, and hands off to a person when a decision needs one. The outcome is work done, not just a reply.
Because we plan for production from week one: real data, your security review, the interface people will actually use, and an evaluation suite that sets the bar for go-live. The same team that scopes the pilot runs it into production.
We're model-agnostic. We choose between commercial and open-weight models per task, on quality, cost, latency and data-residency needs, and design so you can switch models later without rebuilding the system.
In your environment. We deploy into your cloud tenancy or on-premise infrastructure, in-region where required, and set retention and access rules with your security team.
Against the business metric agreed at the start (resolution time, cost per case, accuracy, stock-outs), plus operational measures: task success rate, escalation rate, cost and latency. We report on them at a rhythm agreed with you.
Yes. The code, prompts, evaluation sets and documentation live in your repositories. We run a structured handover so your team can operate it, or we can keep running it for you.
Bring one messy problem. Leave with a ranked shortlist and an honest read on feasibility.
Book a discovery call →