⚙️ MECHANICAL MINDS // APPLIED AI & ROBOTICS ENGINEERING
Enterprise Embodied AI, Multi-Agent Swarms & Sovereign GPU Infrastructure
Mechanical Minds delivers turnkey engineering across the entire autonomous systems stack—from bare-metal EtherCAT actuator loops and ROS 2 kinematics to Vision-Language-Action (VLA) foundation models and sovereign TensorRT-LLM clusters.
PRACTICE 01 // EMBODIED ROBOTICS
Vision-Language-Action (VLA) & ROS 2 Control Systems
We design, fine-tune, and quantize embodied transformer policies for humanoid manipulation, industrial robotic arms, and autonomous mobile robots (AMRs).
- Sim-to-Real Pipeline: Domain-randomized reinforcement and imitation learning in NVIDIA Isaac Lab & MuJoCo 3.2.
- Real-Time Kinematics: 1000Hz Pinocchio + OSQP Model Predictive Control (MPC) over zero-copy CycloneDDS.
- Hardware Safety Interlocks: Sub-100μs torque clamping, singularity avoidance, and CAN-FD / EtherCAT firmware.
PRACTICE 02 // AGENTIC ORCHESTRATION
Deterministic Multi-Agent Swarms & MCP Infrastructure
Replace brittle single-prompt wrappers with fault-tolerant, verifiable multi-agent workflows governed by Directed Acyclic Graphs (DAGs) and Model Context Protocol (MCP) servers.
- Custom MCP Tool Servers: High-throughput TypeScript & Rust MCP servers with strict JSON-Schema validation.
- Byzantine Consensus & Verification: Multi-model cross-checking to eliminate hallucinations in critical financial and operational workflows.
- Replayable Audit Trails: Full state checkpointing in SQLite WAL and OpenTelemetry trace propagation.
PRACTICE 03 // SOVEREIGN COMPUTE
Bare-Metal TensorRT-LLM & FP8 Inference Clusters
Own your weights, latency, and unit economics. We build and optimize dedicated GPU clusters that cut inference spend by 60–75% compared to commercial API providers.
- FP8 & INT4 Quantization: Calibration-aware quantization preserving >99.2% baseline benchmark accuracy.
- Speculative Decoding: Draft-target model pairing delivering 3.2x token generation speedup.
- Edge-to-Rack Topologies: Seamless orchestration across NVIDIA Jetson Orin AGX edge modules and H100/B200 rack servers.
Mechanical Minds Production SLA & Deliverables Matrix
| Architecture Tier | Core Technologies | Target Latency / Throughput SLA | Primary Deliverable |
|---|---|---|---|
| Embodied VLA Control | OpenVLA TensorRT ROS 2 Jazzy | 200 Hz loop / ≤ 4.8 ms P99 | Quantized `.engine` weights + ROS 2 C++20/Rust control node |
| Multi-Agent MCP Swarm | TypeScript MCP SQLite WAL | 99.99% schema compliance | Deterministic DAG orchestrator + verifiable audit ledger |
| Sovereign LLM Cluster | TensorRT-LLM vLLM FP8 | < 20 ms TTFT / 190+ tok/s | Turnkey bare-metal GPU deployment + Prometheus/Grafana telemetry |
| Actuator & Edge Firmware | Rust no_std C++20 EtherCAT | 1000 Hz FOC / < 85 μs jitter | Signed STM32H7 / Jetson Orin firmware + HIL test harness |