Explore our services.
Nine disciplines. One team. We build AI, cloud, data, and infrastructure systems to production standards, then transfer the knowledge so your team owns what we deliver.
"Build Production AI That Actually Ships"
We take AI from a promising prototype to hardened, observable production. Agents, retrieval pipelines, and the MLOps backbone your system needs to stay accurate, cost-controlled, and reliable as usage compounds.
- From proof-of-concept to production, with success metrics defined before we write a line of code
- Bedrock Agents for single & multi-agent architectures with custom tools and guardrails
- Advanced RAG using Snowflake Cortex, OpenSearch, and Kendra, with chunking, re-ranking, and eval harnesses
- Pipelines via LangChain, LlamaIndex, Haystack, and Strands
- MLOps with MLflow, Airflow, Kubeflow, and SageMaker
- LLM evaluation, prompt & version management, and drift / hallucination monitoring
- Fine-tuning, distillation, and model routing tuned for price-performance
- Inference cost & latency observability per model and route, with budget alerts and automatic fallback
"Faster time-to-value, lower inference costs, and AI you can audit and defend."
"Intelligent Devices That Make Money"
Low-latency intelligence at the edge, with secure provisioning and fleet operations that scale from a prototype to thousands of devices in the field, resilient even when connectivity isn't.
- ML inference deployment via AWS IoT Greengrass and Azure IoT Edge
- Real-time, low-latency decision-making at the device
- Fleet management for thousands of devices with secure zero-touch provisioning
- Digital twins and over-the-air model & firmware updates
- Edge-to-cloud telemetry with offline-first resilience
- Purpose-built for manufacturing, healthcare, and logistics environments
"Real-time decisions at the device, with the fleet infrastructure to scale them."
"Cloud That Costs Less & Scales Infinitely"
Multi-cloud and hybrid architecture done right: resilient, sustainable, and continuously optimized so spend tracks value instead of waste.
- Multi-cloud and hybrid environments (AWS, Azure, GCP)
- 30 to 60% cost reduction through FinOps discipline and right-sized architecture
- ECS, EKS, AKS, and GKE containerized applications
- Landing zones, Well-Architected reviews, and IaC with Terraform / Terragrunt
- Zero-downtime migrations and autoscaling reference architectures
- Sustainability reporting and disaster recovery planning
"Lower spend, predictable scaling, and infrastructure your team can manage without heroics."
"Insights at Petabyte Scale"
We build data platforms that turn raw events into decisions your team can trust. Streaming ingestion, governed transformations, and modernized BI in one production-hardened stack.
- Snowflake, dbt, and Airflow ETL platforms
- Kafka and Flink for real-time streaming
- Lakehouse architecture, data contracts, and governance / lineage
- Feature stores that feed production ML
- BI modernization and advanced visualization
- Petabyte-scale analytics and predictive modeling
"Trusted data your whole organization can act on, from analyst laptops to petabyte scale."
"CI/CD That Never Breaks Production"
GitOps-driven delivery pipelines and deep observability so shipping to production is routine, fast, and reversible, measured against DORA and SLO targets.
- GitOps using ArgoCD and Terraform / Terragrunt
- Observability with Grafana, Prometheus, and OpenTelemetry
- Internal Developer Platforms (IDP) and paved golden paths
- Progressive delivery: canary, blue/green, and automated rollback
- DORA metrics and SLO-driven reliability engineering
- Automated remediation and deployment pipeline optimization
"Ship with confidence. Recover in minutes. Engineers stop fearing deployments."
"Secure Your Models & Data Pipelines"
Security designed for AI: defending models and pipelines against modern adversarial threats while staying compliant by default across the whole supply chain.
- Defense against adversarial attacks and prompt injections
- AI red-teaming: jailbreak, data-exfiltration, and robustness testing
- GDPR, CCPA compliance via data privacy controls and zero-trust architectures
- Secrets management, SBOM supply-chain security, and policy-as-code
- Continuous monitoring and incident response for AI workloads
- Model & dataset provenance with signed artifacts, model registries, and audit-ready access logs
"AI systems your legal team can sign off on and your security team can monitor."
"Your Models, Your Hardware, Your Data"
We design, source, rack, and tune local GPU infrastructure so you can run open models in-house, with full data residency, predictable cost, and no per-token cloud bill. From a single Mac Studio to a rack of NVIDIA accelerators.
- Apple Silicon builds: Mac Studio M3 Ultra and unified-memory clustering (EXO) for large-context open models
- NVIDIA workstation & rackmount servers: RTX 5090, L40S, H100/H200 in 1U to 5U chassis (BIZON / Premio-class)
- Right-sizing to your models: VRAM / unified memory, throughput (tokens/s), and concurrency targets
- Power, cooling, airflow, and short-depth rack layout for office or colocation
- On-prem inference stack: Ollama, vLLM, and TGI behind OpenAI-compatible APIs
- Air-gapped options with compliance-grade audit, access control, and data residency
"Private, owned AI capacity at a fraction of recurring cloud spend"
"Automate the Busywork, Keep the Control"
We stand up n8n (self-hosted or cloud) and wire AI into your real operations with rule-based guardrails and human-in-the-loop approvals, so automation is reliable, auditable, and genuinely yours.
- Self-hosted or cloud n8n setup, hardening, and CI/CD for workflows
- AI combined with rule-based logic, input sanitization, and human-in-the-loop approvals
- Lead capture, AI scoring and intent detection, then CRM routing and alerting
- Integrations across CRMs, databases, Slack/email, and internal APIs
- Custom JavaScript / Python nodes and reusable workflow libraries
- Execution-based cost model: complex workflows without per-task bill shock
"Teams scale output without scaling headcount"
"Persistent Agents That Work For You"
We deploy and operate self-hosted autonomous agents (Hermes Agent by Nous Research, OpenClaw, and custom stacks) with persistent memory and your choice of model backend, fully under your control and private by default.
- Hermes Agent & OpenClaw deployment with self-improving skills and persistent memory
- Model-agnostic backends: Nous Portal, OpenRouter, NVIDIA NIM, Hugging Face, OpenAI, or your own endpoint
- Multi-channel gateways: Slack, Telegram, WhatsApp, Discord, Signal, email, and CLI
- Runs anywhere, from a low-cost VPS to your on-prem GPU rack
- Guardrails, tool & permission scoping, and full audit logging
- Private by default: no telemetry, no cloud lock-in
"Always-on agents that compound knowledge over time"
Engagements designed to leave you stronger.
Every service follows the same disciplined path: de-risk fast, engineer for production, then transfer ownership.
Frame & de-risk
We pressure-test the goal, define measurable outcomes, and ship a focused proof-of-concept fast.
Engineer to production
Hardened, observable, cost-aware systems built on AWS/Azure/GCP with security by default.
Transfer & scale
We embed the practices and mentor your team so the capability stays in-house.
Ready to Build The Future Together?
Tell us where you're headed. We'll map the fastest secure path from idea to production.