What We Do
We specialise in production ML deployment, Generative AI engineering, and real-time inference systems. Hands-on builders, not slide-deck strategists.
End-to-end RAG pipelines, LLM integration, prompt engineering, and knowledge management systems for enterprise.
4–10 weeks typicalMulti-agent orchestration with LangChain and LangGraph. Tool integration, memory systems, and guardrail design.
6–16 weeks typicalTake ML models from notebook to production. End-to-end pipelines, monitoring, scaling, and infrastructure.
8–20 weeks typicalLow-latency ML inference, streaming pipelines, DSP, and real-time audio/signal processing systems.
6–12 weeks typicalTechnical feasibility assessments, GenAI readiness audits, build-vs-buy analysis, and implementation roadmaps.
1–2 weeks typicalOngoing advisory, architecture guidance, code review, and fractional ML engineering for your team.
Ongoing engagementReal-time audio processing, pitch detection, speech-to-text systems, and voice technology consulting.
4–12 weeks typicalHow We Work
A structured engagement process designed for transparency, budget certainty, and real results.
A technical deep-dive into your challenge, infrastructure, data, and goals. We assess feasibility and identify the highest-impact approach.
A clear, scoped proposal with timeline, deliverables, technology choices, and fixed pricing. No ambiguity, no scope creep.
Hands-on engineering with weekly progress updates. We build production-grade systems from day one — no throwaway prototypes.
Launch with confidence. We handle deployment, monitoring setup, documentation, and knowledge transfer to your team.
Whether you need production ML systems, GenAI expertise, or an AI strategy for your company — let's talk.