Explore our services.
Our services span AI, cloud, data, and infrastructure. We design, build, secure, and operate production-grade systems to enterprise standards, then hand them over with full knowledge transfer so your team retains lasting ownership and capability.
AI & MLOps
“Build Production AI That Actually Ships”
We take ambitious AI initiatives from experimentation to hardened, observable production: agents, retrieval, and the MLOps backbone that keeps them reliable, accurate, and cost-aware as you scale.
- PoC through production-grade solution development with clear success metrics
- 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
“Accelerate time-to-value, minimize risks, and achieve measurable ROI”
IoT & Edge AI
“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
- Applications across manufacturing, healthcare, and logistics
“Unlock new monetization opportunities”
Cloud-Native Transformation
“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% savings through intelligent resource management and FinOps
- 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
“Engineered to scale infinitely while costing less”
Big Data & Analytics
“Insights at Petabyte Scale”
Modern data platforms that turn raw events into trusted, real-time insight, from streaming ingestion to predictive modeling and modernized BI, governed end-to-end.
- 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
“Decisions backed by data at any scale”
DevOps & Platform Engineering
“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 workflows for deployment optimization
“Reliable releases your team can own”
Cybersecurity for AI Systems
“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
“Zero-trust, compliant, and resilient by default”
On-Prem GPU & Model Hosting
“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”
AI Workflow Automation (n8n)
“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 & intent detection → 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”
Self-Hosted Agentic AI
“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.