Services · Generative AI
Generative AI that ships
Past the demo.
We design, build and deploy production-grade generative AI — from strategy and custom models to agents, chatbots and enterprise automation. Senior teams, sprint-based delivery, measurable outcomes.
20+
GenAI products shipped
<2wk
Brief to first standup
96%
Client Repetition Ratio
750+
Project Completed
Everything under One practice.
Each service is a fixed-scope engagement with a named senior lead and outcome targets agreed on Day 0. Start with one, or let us sequence them into a roadmap.
Generative AI Consulting
Each service is a fixed-scope engagement with a named senior lead and outcome targets agreed on Day 0. Start with one, or let us sequence them into a roadmap.
Custom AI Model Development
Bespoke models trained and evaluated on your data, not a generic vendor model. Owned by you, swap-ready, benchmarked on your task.
LLM Development & Fine-Tuning
Adapt open and closed LLMs to your domain — instruction tuning, RLHF, distillation and quantisation for cost and latency wins.
AI Agents Development
Multi-step agents that plan, call your tools, self-correct and close the loop — with human-in-the-loop guardrails and full traceability.
AI Chatbot Development
Retrieval-grounded, tool-using chatbots across web, WhatsApp, voice, Slack and Teams — from L1 support to internal copilots.
AI Integration (APIs, Apps, Systems)
Wire AI into the software you already run — CRM, ERP, helpdesk, data warehouse — through an auth-aware, audit-logged tool layer.
Enterprise AI Automation
Automate the workflows that eat your team’s week — document processing, triage, routing and reporting — with measurable time saved.
Not finding the service you need?
Tell us the outcome you’re after — we’ll scope a custom engagement.
Boring rigour behind bold ideas.
The reason our GenAI work survives production isn’t a secret model — it’s the discipline around it. Four defaults on every engagement
01
Eval before adoption
Every model and retriever runs through a task-specific eval harness you sign off on.
02
Cost & latency budgets
P95 latency and per-call cost agreed upfront — no runaway bills in production
03
Swap-ready abstractions
A provider-agnostic layer means switching LLMs without a rewrite.
04
Guardrails by default
Prompt-injection defence, PII redaction and output filtering ship as standard.
THE STACK WE BUILD ON
Every model and retriever runs through a task-specific eval harness you sign off on.
GPT-4o
Claude 4.5
Gemini 2.5
Llama 3.3
LangGraph
LlamaIndex
Pinecone
pgvector
LangSmith
Bedrock
Vertex AI
Modal
FAQ
The generative AI
questions we get most.
Still curious? Book a 30-min call with our GenAI delivery lead — no sales pitch, straight technical talk about your use case.
How fast can you actually get from brief to a working prototype?
Most engagements go from kickoff brief to first standup in under 2 weeks. We scope a narrow, high-signal use case first, ship a working prototype against real data, and only then decide whether to expand into the full roadmap.
Which models and frameworks do you build on?
We’re provider-agnostic — GPT-4o, Claude 4.5, Gemini 2.5, and Llama 3.3 are all in active use depending on cost, latency, and data residency needs. Our orchestration layer (LangGraph, LlamaIndex) keeps you swap-ready, so switching providers later doesn’t mean a rewrite.
Who owns the model, the data, and the IP once the project ships?
You do — fully. Every model we fine-tune, every prompt library, every pipeline is owned by you at handover. We don’t lock you into a proprietary black box or a vendor-only stack.
How do you handle hallucinations, prompt injection, and data leakage?
Every retriever and model runs through a task-specific eval harness before it goes live. Guardrails — prompt-injection defence, PII redaction, output filtering — ship by default, not as an add-on, along with full traceability on every agent action.
What happens after launch — do you just hand it off?
No. We stay on for monitoring, cost/latency tuning, and model upgrades post-launch. Most of our clients (96% repeat ratio) come back for the next phase rather than starting over with a new vendor.
Build generative AI worth shipping.
Send us your brief — a senior GenAI lead replies within 24 hours with a scoped plan, a fixed timeline, and the model/stack recommendation for your use case.
- 30-min call with a senior GenAI delivery lead
- Use-case fit map: agent, chatbot, fine-tune, or automation
- Cost & latency budget estimate for your scope
- Reference architecture diagram (yours to keep)
- Two relevant case studies from your industry
