AI & Machine Learning Engineering
We build proprietary, enterprise-grade AI systems tailored to your data. From agentic workflows that automate multi-step decision chains to edge-quantized neural networks running sub-millisecond inference on constrained silicon.
78%
Latency reduction
62%
Token cost savings
3,200 req/s
Inference throughput
What we do
- Autonomous multi-agent swarms with tool calling & memory
- Proprietary LLM & SLM domain fine-tuning (LoRA, QLoRA, DPO)
- Enterprise RAG & hybrid vector-graph retrieval architecture
- Computer vision & real-time neural video analytics
- Edge inference optimization (TensorRT, ONNX, CoreML, Coral TPU)
- AI safety, guardrails & adversarial robustness audits
What you receive
- Production-ready containerized AI microservices
- Fine-tuned model weights & evaluation pipelines
- Interactive evaluation dashboard with latency/token cost tracking
- 100% client-owned intellectual property & data sovereignty
Toolchain
PyTorchTensorFlowHugging FaceLangGraphvLLMOllamaPineconeQdrantCUDATensorRT
Proof of work
See the division's engineering case studies.
Wind-turbine inspection drones at 99.6% precision, FDA-cleared medical gateways, and a fraud mesh scoring 45k TPS in under 14 ms.
Browse case studiesWant your team to run this stack?