Engineering AI that moves businesses forward.
YarvinLabs designs, builds, and deploys enterprise AI systems—from intelligent software and voice agents to secure on-premise infrastructure—helping organizations automate operations, accelerate growth, and unlock measurable business value.
Trusted by forward-thinking organizations
Not another platform. A measurable line on your P&L.
Operational costs
Consolidate tooling, retire manual workflows, and shrink support overhead with agentic automation.
Customer support
Deploy voice + text agents that resolve tier-1 volume 24/7 with escalation to human teams.
Employee productivity
Internal copilots that draft, summarize, retrieve, and act on your knowledge base.
Legacy workflows
Wrap decades-old systems with AI orchestration—no rip-and-replace required.
Secure private AI
Private LLMs, on-prem GPU clusters, air-gapped deployments for regulated workloads.
Competitive advantage
Custom systems tuned to your data, your customers, and your economics.
Enterprise systems, not experiments.
Every engagement ships to production with SLAs, evals, observability, and a named engineering team.
Agentic AI
Repetitive multi-step processes drain expert time and stall throughput.
Autonomous agents that plan, tool-use, and execute across your stack with human-in-the-loop guardrails.
60–90% cycle-time reduction on qualifying workflows.
Enterprise voice
Contact centers can't scale headcount to demand or hours.
Realtime voice agents on WebRTC / SIP with sub-500ms latency, warm hand-off, and full transcription.
24/7 coverage. First-call resolution up 30–45%.
Private AI
Regulated data can't leave your perimeter.
Private LLM deployments on your VPC or on-prem GPUs—vLLM, Llama, Qwen, GLM—fully managed.
Zero data egress. SOC 2 / HIPAA-ready architecture.
AI automation
Business logic is trapped across SaaS silos and spreadsheets.
Event-driven orchestration with LangGraph, MCP, and typed APIs across every system of record.
Straight-through processing across finance, ops, and RevOps.
Knowledge systems
Institutional knowledge is buried in PDFs, wikis, and Slack.
Retrieval systems with hybrid search, evals, and provenance—not a chatbot bolted to a bucket.
Answers your teams cite in decisions, not just glance at.
AI infrastructure
Model spend and latency scale unpredictably in production.
Reference architectures for GPU orchestration, caching, routing, and observability across Cloud and on-prem.
Predictable unit economics. 99.95% availability targets.
Cloud, private, hybrid, or fully offline.
Architecture follows your data, compliance, and latency requirements—not the other way around.
Enterprise workloads within your VPC and identity perimeter.
A disciplined path from concept to production.
Business context, data landscape, success criteria.
Reference design, model + infra selection, security review.
Working slice against real data within weeks, not quarters.
Production build with typed contracts, evals, and CI.
Red-teaming, load testing, and stakeholder sign-off.
Zero-downtime rollout across cloud, private, or on-prem.
Cost, latency, and quality tuning against live telemetry.
24/7 on-call, quarterly reviews, and long-term partnership.
The engineering partner for mission-critical AI.
We work with a small number of organizations at a time so every system we ship carries our name and our on-call rotation.
Enterprise-first
Every system is built to pass procurement, security, and legal from day one.
Security-first
SOC 2, HIPAA, and ISO-aligned patterns. Threat modeled by default.
Engineering-first
Founding team of ML, distributed systems, and platform engineers. No account managers.
Vendor-neutral
We recommend what fits—closed or open, hosted or on-prem, US or EU.
Production-ready
Evals, tracing, and rollback baked in. Not a demo dressed up as a product.
Built for scale
From pilot to fleet—reference architectures that survive contact with real load.
Built for regulated, high-stakes environments.
Healthcare
HIPAA-aligned clinical + operational AI.
Finance
Underwriting, KYC, and analyst copilots.
Cybersecurity
SOC automation and threat triage.
Manufacturing
Vision, quality, and predictive maintenance.
Retail
Merch intelligence and voice commerce.
Education
Assessment, tutoring, and admin agents.
Government
Compliant deployments and on-prem AI.
Logistics
Routing, dispatch, and voice ops.
The tools we choose from—so you don't have to.
Answers to the questions procurement asks first.
Every deployment is threat-modeled up-front. We support VPC isolation, private networking, BYO KMS, tenant-scoped identity, audit logging, and SOC 2 / HIPAA-aligned controls. For sensitive workloads, we deploy fully within your perimeter.
You do. We build on open weights where appropriate and closed APIs when they win on merit. Fine-tunes, embeddings, prompts, evals, and telemetry are your assets, delivered under your account.
Yes. We deploy on customer-owned GPU clusters with signed model supply chains, no outbound network, and reproducible builds. Common in defense, healthcare, and critical infrastructure.
We design for 99.95% availability with horizontal inference, request routing, caching, autoscaling GPU pools, and multi-region failover. Load is validated against production traffic profiles before launch.
SOC 2, HIPAA, GDPR, and ISO 27001-aligned patterns. For regulated engagements we provide architecture documentation, DPIA input, and audit artifacts.
Typed contracts against your systems of record—Salesforce, SAP, Epic, ServiceNow, custom mainframes. We prefer event-driven orchestration via MCP and internal APIs over brittle scraping.
24/7 on-call, quarterly business reviews, and a named engineering team. We treat launch as day one, not the last day.
Ready to build enterprise AI that delivers results?
Schedule a 45-minute working session with an engineer. Leave with a candid assessment and a reference architecture for your first system.