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Service — AI & Automation
AI that works alongside your business: agents handle recurring tasks, copilots support your team and RAG systems make internal knowledge accessible. We integrate these features into your software and SaaS products with clear approvals and measurable value.
What we build
AI in your software & SaaS
Internal copilots, intelligent search, summaries and document processing inside your application. We connect AI to your data and evaluate its quality against real tasks.
RAG over your data
A knowledge assistant across your documents and APIs with traceable sources and appropriate access controls. Your team finds answers grounded in your own company knowledge.
AI agents & connected workflows
Agents handle requests, prepare documents and trigger tasks in your systems. APIs and MCP connect the tools; approvals and clear handoffs keep your team in control.
Evals & observability
Datasets, golden traces, regression tests, cost & latency dashboards — AI you can change without fear.
Practical examples:
Improve customer service, optimize inventory management, personalize marketing and streamline order processing.
Optimize portfolio management, risk analysis and personalized financial advice, raising the quality of service.
Enhance patient scheduling, automate billing, improve diagnostics and streamline health record management.
Streamline quality control, maintenance reporting, production planning and forecasting for real efficiency gains.
Optimize ad targeting, content personalization and social media management, leading to better results per budget.
Facilitate lead generation, property matching and client communication, cutting manual work out of sales.
Improve route optimization, inventory management and demand forecasting for a calmer supply chain.
Optimize legal research, archival processes, case review and client communication with a specialized system.
Benefits:
Reduced Costs & Time
Streamlined Processes
Amplified Efficiency
Reduction In Manual Errors
Production, not demos
We treat AI like any other system: versioned prompts, golden datasets, regression tests, rollback. The model is allowed to surprise you in dev — never in prod.
How we ship AI
[Build]
[01]
Use-case framingWe narrow from "AI strategy" to one concrete, measurable use case worth building first.
[02]
Prototype + evalTwo-week prototype on your real data. We define the eval before we write the prompt.
[Deliver]
[03]
ProductioniseMove to your stack — auth, rate limits, caching, fallbacks, monitoring, cost controls.
[04]
Iterate with dataContinuous evals, prompt versioning, A/B tests. Your AI gets better every sprint.
Further reading
Agents that act in your CRM, ticketing and ERP.
Vector search, hybrid retrieval and RAG pipelines.
From inbox to a reviewed workflow with human approval.
Article: a practical introduction to AI automation.
FAQ
Depends on the task. We benchmark Claude, GPT, Gemini and open-source on your eval — and pick the cheapest model that meets the bar.
We support self-hosted models, zero-retention API tiers, and on-prem RAG. Your data never trains anyone else’s model.
Every project starts with an eval dataset and a target score. We do not ship features that regress the eval.
We design for cost from day one — caching, model routing, smaller models where they suffice. Most features cost cents per user per month.
Free 30-minute call. We tell you which AI features are worth building — and which are a distraction.
Get in Touch
Tell us about your project — we'll get back within 24 hours with a tailored proposal. No fluff, no boilerplate.
Pick a slot that suits you — or use the form. We reply within 24 hours on working days.
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