Bespoke AI applications built from the ground up. LLM integration, fine-tuning, RAG systems, AI APIs, and end-to-end AI product development — engineered for production, not demos.
System design for production AI products — model selection, retrieval strategy, latency budgets, and scalability from day one.
Seamless integration of OpenAI, Claude, Gemini, and open-source models into your existing stack with structured output, tool-calling, and guardrails.
Custom fine-tuning on your domain data for improved accuracy, tone, and format consistency — with reinforcement learning from human feedback where appropriate.
Document ingestion, chunking, embedding selection, and vector store setup — retrieval-augmented generation optimised for your corpus and query patterns.
Production-grade API wrappers and SDKs that expose your AI capabilities to internal teams or external customers with auth, rate-limiting, and logging built in.
End-to-end deployment on your cloud provider of choice — with CI/CD pipelines, monitoring, alerting, and rollback capability.
Company documentation (SOPs, policies, product docs) is ingested into a vector store.
Employees query it via Slack or a web interface, getting accurate answers with source citations — reducing support tickets by 40–60%.
Fully automated with audit log.
Structured data from CRM, forms, or spreadsheets is passed to a fine-tuned model that generates formatted proposals, contracts, or reports in your brand voice — in seconds.
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Fully automated with audit log.
Images and product descriptions are passed through a vision-language model that auto-tags, categorises, and routes items to the correct inventory bucket — replacing hours of manual work.
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Fully automated with audit log.
Every system has configurable escalation points. When confidence is low or stakes are high, humans are looped in automatically — before anything irreversible happens.
Every action is logged with timestamps, inputs, and outputs. You can replay any workflow, trace any decision, and export logs for compliance purposes.
Retry logic, dead-letter queues, Slack alerts, and uptime monitoring are built into every system — so failures surface immediately and recover automatically.
The Automation Audit is a focused 1-week engagement. For Custom AI Dev, the audit delivers:
Book the AuditBook the Audit20-minute call. No pitch deck. Just a direct look at where automation ships ROI fastest.
