Trusted by enterprise teams building the future
Founded in 2019 with a contrarian insight: enterprises don't need more consultants — they need production-tested AI frameworks delivered by the engineers who built them.
Production-tested AI modules that compress 6-month projects into weeks. Not prototypes — battle-hardened code.
Senior engineers embedded in your team from sprint one. No ramp-up, no handoffs, no knowledge silos.
We tie engagement to measurable KPIs. You pay for outcomes, not hours — aligned incentives from day one.
Pre-built accelerators that compress delivery from months to weeks.
Multi-agent orchestration for claims processing, underwriting, and document workflows. Microsoft, Salesforce, LangGraph, AWS Bedrock Agents — production-ready in weeks. Enterprise governance, human-in-the-loop controls, and 100+ pre-built connectors eliminate 80% of boilerplate so your team focuses on agent logic, not infrastructure.
Explore Agentic AI →Agent runtime architecture — execution loops, tool registries, state management, and verification.
Explore →RAG pipelines, model routing, prompt systems, and guardrails. Top-tier LLM quality at 73% lower cost.
Explore →Knowledge graphs, ontology design, and entity resolution for enterprise data fabric.
Explore →Semantic layers, real-time pipelines, and lakehouse architecture on Databricks, Snowflake, and Fabric.
Explore →Cloud migration, cost optimization, and multi-cloud architecture on Azure and AWS.
Explore →Internal developer platforms, CI/CD, infrastructure as code, and Kubernetes.
Explore →Pre-vetted senior engineers embedded in your team within one week. Scale up or down as needed.
Explore →Maharadha's accelerators cut our AI deployment timeline from 9 months to 10 weeks. Their engineers felt like part of our team from day one.
The outcome-based model aligned incentives perfectly. We got production-grade AI agents, not slide decks.
Their data intelligence platform unified our fragmented data estate in weeks. ROI was visible within the first quarter.
We scaled from 2 to 15 engineers in a week. Maharadha's FDE model is the fastest path to enterprise AI talent.
No discovery phases that last quarters. We ship.
Map business goals, data estate, and AI readiness. Identify high-impact use cases and define success KPIs.
Deploy pre-built accelerators customized to your stack. Embed engineers in your team for immediate velocity.
Ship to production with enterprise-grade monitoring, security, and observability baked in.
Continuously tune models, reduce costs, and expand use cases based on production telemetry.
We combine pre-built AI accelerators with forward-deployed engineers, delivering production AI 4× faster at 60% lower cost than traditional consultancies. You get working software, not slide decks.
We serve Banking & Finance, Insurance, Healthcare, Retail, Energy & Utilities, Manufacturing, Life Sciences, and Telecom & Media with domain-adapted AI solutions.
With our pre-built accelerators, we go from discovery to production in four sprints — typically 8 to 12 weeks depending on complexity.
We support Microsoft Azure, AWS, Databricks, Snowflake, Salesforce, OpenAI, LangChain, AWS Bedrock Agents, and more. Our accelerators are platform-agnostic and adapt to your existing stack.
We offer outcome-based pricing tied to measurable KPIs, along with dedicated squad models and accelerator licensing options. You pay for results, not hours.
Free AI Readiness Assessment. 2-hour working session. Zero commitment.