Engineering practices built for production AI
Direct senior engagement on architecture, model fine-tuning, and infrastructure from day one. No junior handoffs.
GenAI architecture
Enterprise retrieval-augmented generation (RAG), fine-tuned LLMs, and multi-agent systems designed for low latency and zero data leakage.
MLOps infrastructure
Resilient inference clusters, continuous model monitoring, automated retraining pipelines, and GPU orchestration across multi-cloud environments.
Custom neural models
Bespoke deep learning architectures, domain-adapted foundation models, and quantized edge networks tailored to proprietary enterprise datasets.
Data strategy & pipelines
High-throughput streaming pipelines, synthetic data augmentation, feature stores, and strict enterprise governance frameworks.
How our squad embeds with your team
Direct collaboration with a 12-person senior machine learning collective. No junior handoffs, from initial architecture audit to live production telemetry.
Technical audit & architecture review
Full examination of your current data pipelines, model weights, compute footprint, and security constraints.
- Inference latency bottleneck report
- Model quantization feasibility audit
- Architecture blueprint & cost model
Neural infrastructure & model prototyping
Rapid evaluation of model architectures, distributed training setups, and target fine-tuning benchmarks.
- Custom LoRA & full fine-tuning harness
- Synthetic data generation pipeline
- Baseline evaluation with precision curves
Distributed training & squad integration
Pairing directly with your engineering leads to train models at scale and integrate inference endpoints.
- Multi-GPU distributed training pipeline
- Streaming RPC inference endpoints
- Internal developer SDK & test suites
Production deployment & telemetry governance
Rolling zero-downtime deployment, continuous drift detection, and live automated fallbacks.
- Sub-50ms edge caching & inference cluster
- Real-time token drift & hallucination monitoring
- Complete runbooks & client squad handoff
Embedded engineering cadence and live SLAs
Bi-weekly sprint reviews
Direct live demos with senior engineers, zero account managers.
Dedicated engineering channel
Direct Slack or Teams link to the 12 engineers building your system.
Real-time telemetry access
Shared Grafana dashboards tracking throughput, loss, and latency.
Stress-test your inference and pipeline architecture
Schedule a focused 60-minute technical working session with our senior engineers. We dissect latency hot spots, audit model routing, and calibrate compute budgets with zero sales pitches.
Strict mutual NDA signed before session kickoff
Direct execution by principal AI researchers and MLOps staff
Actionable 10-page architecture teardown delivered within 48 hours