Scale production GenAI with LLMOps that cuts cost & latency

From POC to production-ready AI systems with observability, cost discipline, and enterprise governance

Trusted Infrastructure

AWS
Azure
GCP
Databricks
10M+ daily inferences
99.9% uptime
40% cost reduction

What We Do

End-to-end GenAI solutions that take you from proof-of-concept to production scale

LLMOps

Observability, evaluations, and cost controls for production LLM systems. Monitor token usage, track model performance, and optimize inference costs.

Agentic AI

Configure AI Teams made of specialized AI Agents working through intelligent workflows. Build autonomous systems that reason, plan, and execute with human oversight.

→ Customizable agent teams & workflows

RAG & Knowledge

Ground models in your enterprise data with retrieval-augmented generation. Vector databases, semantic search, and knowledge graphs.

Data Foundations

Governance, quality, and integration pipelines for AI-ready data. Build the foundation that powers reliable GenAI applications.

Responsible AI

Policies, guardrails, and compliance frameworks. Ensure your AI systems are safe, fair, and aligned with regulatory requirements.

Platform Engineering

Build internal AI platforms that enable your teams to ship faster. Self-service tooling, shared infrastructure, and developer experience.

You Focus on Business Value.
We Drive the Execution.

Stop hiring consultants who just give advice. Our team of AI engineers, MLOps specialists, and infrastructure experts becomes your extended team—owning the entire technical execution from architecture to production deployment.

What You Own

Define Business Outcomes

Tell us what success looks like—cost reduction targets, user metrics, revenue impact. We'll handle how to get there.

Review Progress & Insights

Get weekly updates with dashboards showing performance metrics, cost trends, and ROI—not technical jargon.

Approve Major Decisions

Make strategic calls on priorities, budgets, and timelines. Leave architecture, tooling, and implementation to us.

What We Own

Full Technical Execution

Architecture design, infrastructure setup, CI/CD pipelines, model deployment, monitoring—everything from code to production.

AI/ML Engineering & Optimization

Model selection, fine-tuning, prompt engineering, cost optimization, latency reduction—we obsess over the details.

Production Operations & Support

Incident response, performance tuning, security patches, compliance updates—we keep your AI running 24/7.

Knowledge Transfer & Team Enablement

Train your team, document everything, build your Center of Excellence—so you own the capability long-term.

Why This Model Works

Most AI transformations fail because companies get stuck in endless planning cycles or hire consultants who write reports instead of shipping code. We're builders first—our team of 20+ AI engineers, data scientists, and MLOps specialists has deployed production GenAI systems serving millions of daily inferences. We don't just advise. We architect, code, deploy, monitor, and optimize your AI infrastructure while training your team to own it long-term.

How It Works

A proven methodology that takes you from experimentation to enterprise-grade AI

1

Assess

AI readiness audit

We evaluate your current AI capabilities, data readiness, infrastructure gaps, and organizational maturity to create a tailored roadmap.

2

Prove

MVP with observability

Build a production-ready MVP with full observability from day one. Validate business value while establishing cost and performance baselines.

3

Scale

Platform + CoE

Roll out enterprise AI platforms with governance, shared infrastructure, and a Center of Excellence to scale AI across your organization.

Outcomes That Matter

Real impact on your AI operations and bottom line

40%
Reduce token spend

Optimize model selection, caching strategies, and prompt engineering to cut inference costs without sacrificing quality.

60%
Cut p95 latency

Implement intelligent routing, model optimization, and infrastructure tuning to deliver faster responses at scale.

Deploy faster

Standardized pipelines, automated testing, and reusable components accelerate time from idea to production.

Built on Proven Infrastructure

We partner with industry leaders to deliver enterprise-grade AI solutions

Databricks
AWS
Azure
GCP
MLflow
Langfuse

Get Your GenAI Audit

Discover how to optimize your AI infrastructure for cost, performance, and scale. Our experts will assess your current setup and provide actionable recommendations.

Or talk to an AI engineer