What we deliver
Services built for real-world AI deployment
From strategy to optimization to production — we help you build AI systems that meet strict latency, cost, and reliability requirements.
AI Strategy & Architecture
We help you decide what to build, how to build it, and how to deploy it without burning cycles on unnecessary tech.
No buzzwords. Just the shortest path to a working, measurable AI solution.
Deliverables include:
- Use-case evaluation and feasibility analysis
- Architecture diagrams for scalable deployments
- Model + GPU resource planning
- Cost projections and optimization paths
- Integration plan for existing systems (ERP, CRM, internal tools)
High-Performance Inference Optimization
This is our strongest area of expertise. We design systems that run faster, cheaper, and more reliably.
If your current model is slow, expensive, or unstable — we fix that.
Core capabilities:
- Model quantization (INT8, FP8, FP16)
- ONNX graph cleanup + operator fusion
- TensorRT-style optimizations
- Custom kernels and plugin-level tuning
- Multi-model scheduling and memory management
- Benchmarking + profiling (prefill/decode separation, token throughput)
- DLA/edge compatibility planning
Production Deployment & MLOps
We build pipelines that take models from notebooks → production reliably.
Especially valuable if you need repeatability, traceability, and zero-downtime deployment.
Expertise includes:
- Containerization + GPU scheduling
- Multi-cloud + on-prem deployment (Kubernetes, edge devices, GPU clusters)
- CI/CD pipelines for model updates
- Evaluation harnesses, regression testing, automated benchmarking
- Logging, metrics, and model-health monitoring
- Safety-critical workflows (versioning, auditability, reproducibility)
Custom GenAI Integrations
We add generative AI where it actually makes sense — not as a gimmick.
High-performance GenAI that lives inside your existing workflows, not bolted on as a side-app.
Typical integrations:
- RAG systems with hardened evaluation
- Multi-modal pipelines (vision + language)
- Workflow agents linked to real business tools
- Fine-tuning or adapting foundation models to your domain
- Fast inference endpoints with guardrails and observability