// MI Protocols · Bengaluru, India · Est. 2024
We engineer AI at the edge of what's possible — from orbital computing to clinical intelligence. When the cost of failure is not an option, we build.
The hardest problems in the world — managing orbital debris, predicting financial collapse, diagnosing battery failure before it happens, putting clinical intelligence in the hands of every health worker — these aren't unsolvable. They're just waiting for the right machine intelligence architecture.
MI Protocols exists to build that architecture.
Six verticals. One mission: machine intelligence for systems where the stakes are real.
1-bit LLM inference engines and neural architectures that run on constrained hardware — from microcontrollers to low-orbit satellites.
Autonomous decision-making for orbital operations. AI that operates when ground communication isn't an option.
Electrochemical state estimation, degradation prediction, and chemistry-level discovery. EVs that know themselves before they fail.
Systemic risk detection, macro shock prediction, and fault-line analysis. We model what others call unmodelable.
Multi-agent clinical decision support for community health workers. Hospital-grade intelligence to the last mile of healthcare.
Production-grade multi-agent systems with memory, tool use, and multi-channel deployment. Builds that actually ship.
Research-stage and early-commercialization deep-tech ventures built from within MI Protocols.
1-bit LLM inference on BitNet b1.58 for orbital and extreme-edge computing. Language model capabilities on satellites with near-zero compute.
Autonomous orbital debris management and OS for the orbital economy. Situational awareness, collision avoidance, debris removal at scale.
ML-driven EV battery diagnostics. State-of-health estimation, degradation modelling, and electrochemical discovery to prevent field failures.
Global financial systemic risk prediction. Maps fault lines in financial networks and delivers early-warning signals before macro shocks cascade.
Multi-agent clinical AI for community health workers. Diagnostic support, treatment protocols, and triaging at the last mile — low-bandwidth, local-first.
Open-source multi-agent orchestration via Ollama and Groq. Local and cloud-hybrid deployments with tool use, long-term memory, and reasoning chains.
Select engagements where our depth creates outsized impact.
Orchestrated agent networks with memory, tool use, and autonomous loops — production-grade from day one.
Domain-specific fine-tuning, RLHF pipelines, and instruction alignment on proprietary datasets.
End-to-end RAG with vector stores, hybrid search, re-ranking, and hallucination mitigation.
Quantization, pruning, distillation, and 1-bit inference for IoT, embedded, satellite, and mobile targets.
Causal inference and early-warning systems for high-stakes prediction in finance, health, and operations.
Custom RL environments, policy training, and sim-to-real transfer for autonomous control.
Model monitoring, drift detection, eval pipelines, and production-grade AI infrastructure.
Vision-language models, document intelligence, image diagnostics, and sensor fusion pipelines.
Graph-based reasoning, long-term agent memory, and semantic retrieval at enterprise scale.
Architecture reviews, research-to-product translation, and strategic AI guidance.
30 minutes to understand your problem and constraints. No pitching — just listening.
Architecture, timeline, and deliverables upfront. Fixed scope or retainer — your call.
Working prototypes early. Weekly check-ins. Ship fast, refine with real feedback.
Production-ready code, documentation, optional ongoing support. You own everything.
Have a problem that matters? Whether it's a focused freelance engagement or a deep research collaboration — we'd love to hear from you.