AI and data services that ship production systems
We help enterprises move from reporting and PoCs to intelligent systems — agentic AI, data platforms, analytics, and software — with the engineering rigor large consultancies often outsource and the product depth pure services firms lack.
Four pillars — from strategy to production operations
Inspired by how leading analytics firms structure offerings — rebuilt around product engineering and governed AI.
Strategy that ships
Roadmaps tied to buildable systems — not slide decks that stall in committee.
Explore 02Data that AI can trust
Pipelines, models, and platforms engineered as the substrate for agents and analytics.
Explore 03Differentiate with AI products
Agentic AI, GenAI, RAG, and MLOps delivered as production software — with our own products when they accelerate you.
Explore 04Operationalize & run
LLMOps, AI SRE, and cloud reliability so what you launch stays reliable in production.
Explore
Product-backed services
Sharp delivery — agents, data platforms, and production ops
Visual energy inspired by leading analytics firms, grounded in systems we actually ship.
Built differently from large AI & analytics consultancies
Firms like Fractal, Tiger Analytics, and Mu Sigma excel at scale consulting and analytics programs. We compete by shipping product-grade systems with smaller, high-ownership engineering teams — and by productizing what we learn into Genveth, AI SRE Agent, and Agent Studio.
Products + services, not services alone
When Agent Studio, AI SRE Agent, or Genveth fits, we use them to compress delivery — instead of reinventing platforms on every engagement.
Production engineering over PoC theater
Evals, observability, guardrails, and runbooks are part of the definition of done — not a Phase 2 promise.
Governed autonomy
Agents that act with scoped tools, audit trails, and human escalation — the bar enterprises actually need.
US & Asia from Bengaluru
Senior engineering depth with commercial focus on US and Asia markets — without the overhead of a 5,000-person delivery machine.
Artificial Intelligence
From strategy to agents, GenAI, RAG, and LLMOps — AI that ships and stays reliable.
Artificial Intelligence
AI systems that decide and act — with governance built in
Human intuition meets machine intelligence — powering faster decisions and real business impact at speed and scale.
- · Production AI systems aligned to business outcomes
- · Intelligent automation that reduces manual effort
Agentic AI
Agents that work inside enterprise guardrails
Autonomous intelligence that thinks, acts, and adapts — empowering businesses to decide and act in real time.
- · Autonomous agents scoped to safe, governed actions
- · Multi-agent orchestration for complex workflows
Generative AI
GenAI that survives contact with production
Operationalize generative AI into a secure, scalable, and governed enterprise capability.
- · Production GenAI apps with measured quality and latency
- · Cost-optimized model routing and caching strategies
MLOps
From notebook to reliable model operations
Production-ready MLOps that deploys, automates, and manages machine learning with enterprise reliability.
- · Automated CI/CD for model training and deployment
- · Drift detection and continuous quality monitoring
LLMOps
Operate LLMs like production software
Secure, scalable LLMOps frameworks that turn large language models into reliable production solutions.
- · Prompt and model versioning with release gates
- · Continuous evaluation catching regressions before release
AI Product Engineering
AI-native products from prototype to scale
End-to-end design and engineering of AI-native products, from prototype to production.
- · Validated AI product roadmap in weeks, not quarters
- · Production-grade architecture built for scale from day one
RAG & Knowledge Engineering
Ground generative systems in your enterprise truth
Retrieval-augmented generation pipelines grounded in your enterprise knowledge.
- · Grounded, citation-backed generative responses
- · Hybrid retrieval tuned for your document structure
MCP & Tool Integration
Standardize how agents touch your systems
Model Context Protocol integrations connecting agents to your systems and tools.
- · MCP servers exposing internal systems securely
- · Reusable tool integrations across agent frameworks
AI Automation & Workflow Orchestration
Automate judgment-heavy work without losing control
Intelligent automation of high-friction business processes using AI-driven workflows.
- · Reduced manual processing time across target workflows
- · Consistent, auditable decisioning at scale
AI Strategy Consulting
Executive AI strategy grounded in what can actually ship
Executive advisory on AI strategy, platform architecture, and organizational readiness.
- · Board-ready AI strategy and investment roadmap
- · Independent technical due diligence on vendors and platforms
AI SRE & Cloud Reliability
Reliability engineering with autonomous assistance
Autonomous reliability engineering combining AI-driven monitoring with cloud platform expertise.
- · Lower mean-time-to-resolution across production incidents
- · Reduced on-call fatigue via autonomous remediation
Data Engineering
Pipelines and platforms engineered so analytics and AI can trust every input.
Data Engineering
Data platforms built for analytics and agents
Build a resilient data foundation for agile, data-driven business and AI decision intelligence.
- · Reliable, monitored pipelines for analytics and AI
- · Scalable lakehouse and warehouse architectures
Advanced Data Modeling
Models that keep BI and AI consistent
Organize, optimize, and manage complex data for analytics, AI, and smarter decisions.
- · Clear domain and dimensional models for analytics
- · Improved query performance and data consistency
Intelligent Data Systems
Real-time data systems for intelligent operations
Integrate advanced technologies to collect, process, and analyze data efficiently in real time.
- · Real-time and near-real-time insight pipelines
- · AI-ready data platforms with automation hooks
Data Science & Analytics
Models, mining, visualization, and BI designed for decisions — not dead dashboards.
Data Science & Analytics
Analytics that changes the next decision
From insight to foresight at decision speed — data science for complex, high-impact problems.
- · Decision-ready models and analytical frameworks
- · Faster insight cycles for leadership and operations
Data Mining
Find the signals traditional reporting misses
Unearth signals, empower decisions, and move with speed across complex data landscapes.
- · Hidden patterns and segments surfaced from complex data
- · Signal discovery that feeds models and strategies
Data Visualization
Visual systems designed for understanding
Design for understanding — visualize to decide and learn at speed.
- · Decision-first dashboards stakeholders actually use
- · Clear visual narratives for complex datasets
Business Intelligence
Living intelligence instead of static reports
Shift from periodic reports to real-time, insight-driven decision-making.
- · Executive dashboards that drive action, not just awareness
- · Trusted metrics with clear ownership and definitions
Decision Science
Structured decision-making under uncertainty, including applied quantum exploration.
Decision Science
Decide under uncertainty with structured rigor
Transform decision-making with AI-driven intelligence, modeling, and behavioral insight.
- · Clearer decisions under uncertainty
- · Models that connect analysis to business strategy
Quantum Computing
Honest hybrid quantum exploration for hard problems
Explore quantum and hybrid classical–quantum approaches for optimization and complex computation.
- · Problem framing for quantum vs classical suitability
- · Hybrid classical–quantum optimization prototypes
Software Development
Full-stack product engineering and enterprise AI transformation programs.
Software Development
Software engineering with AI in the product DNA
Build intelligent, scalable, and future-ready software with AI at the core.
- · Production web and API systems built for scale
- · AI features integrated cleanly into product experiences
Enterprise AI Transformation
Transformation programs that survive contact with engineering
Organization-wide AI adoption programs that connect strategy, data, and change management.
- · AI operating model and governance framework
- · Prioritized use-case portfolio with ROI modeling
Cloud Platform Engineering
Cloud platforms ready for AI workloads
Cloud-native platform architecture for AI workloads — Kubernetes, OpenShift, and hybrid cloud.
- · Scalable, cost-optimized AI infrastructure
- · GPU-aware scheduling and autoscaling
Ready for services that end in production?
Tell us the outcome you need — we'll recommend a pilot path, and whether Agent Studio, AI SRE Agent, or a custom build accelerates it.