Building Production ML Systems on Google Cloud
A structured playbook for taking ML from prototype to reliable production — training, serving, logging, and monitoring included.
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BrassinAI is a specialist AI engineering firm. We design and deliver
modular, production-ready AI.
From Retrieval Systems and
Agentic Workflows
to
GPU-Optimised Inference Pipelines.
We don't hand you a slide deck. We design, build, and deploy AI your systems with measurable outcomes.
Autonomous agents with tool use, memory, and modular orchestration. Built for reliability in production environments.
High-fidelity retrieval pipelines grounded in your proprietary data. Hybrid search, re-ranking, and evaluation built in.
Vision–language systems, video understanding, and cross-modal representations at scale.
CUDA kernels, distributed training, inference optimisation. Squeeze maximum performance from your hardware budget.
MLOps pipelines, model registries, observability stacks, and serving infrastructure that teams trust in production.
Technical due diligence, capability audits, and a clear roadmap, so you invest in AI that compounds.
We run a free 20-minute scoping call to map your AI opportunity and cut through the noise.
Schedule a Free Scoping Call →Production AI products across legal tech, sales, and customer operations.
Secure RAG system that surfaces relevant case law and precedents in seconds. Cut review cycles and respond to clients faster.
Result: 70% reduction in review time →
Intelligent sales agent that qualifies leads, personalises outreach, and surfaces high-value prospects automatically.
Result: 3× qualified leads in 8 weeks →
Multi-channel intelligent support that handles routine queries and escalates critical issues — without killing margins.
Result: 60% automation, NPS uplift →Technical deep-dives, applied research, and production lessons from the team.
A structured playbook for taking ML from prototype to reliable production — training, serving, logging, and monitoring included.
Read article →
A practical framework for training LLM agents under real-world tool constraints like latency, failures, and non-differentiability.
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How Trackus uses real-time player tracking and AI analytics to make sports coaching measurably smarter and more data-driven.
Read article →Our team combines deep research expertise with hands-on engineering experience. We've build tools pioneering the frontier of enabling AI on web. We've also worked at different inssituition championing the ideation and the deployment of AI systems in production.
Open source author, AI Platform Engineer, Published AI researcher in Vision, Multimodal AI, and Agentic AI Workflow.
Open source author, Machine learning systems engineer, Agentic AI specialist. Multimodal learning
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