Strategic partners
We integrate across the platforms your teams already run. What compounds is the way we assemble and operate everything as one governed system, refined across hundreds of engagements.
Parkar is your trusted partner for AI transformation. Data, Product, Operations, built and run on one platform.
Four structural reasons show up in every stalled programme.
Score your enterprise across ten dimensions the research says determine whether AI ships to production. Strong, Emerging, or Needs Strengthening, answered honestly. Your placement is one of three bands, and the recommendation is shaped by where you score.
Complete all ten dimensions to see your band placement and a recommendation.
Data Engineering, Product Engineering, AI Operations. Each is a substantial programme in its own right.
Pick the one that fits where you are, and expand as you adopt.
The AI-ready data foundation every AI programme starts from.
Support what you run today. AI-wrap legacy with MCP. Build AI-native where it earns the case.
From AI pilot to governed production agent. Then we run it.
The team that builds your AI is the same team that runs it. No handover.
Build makes legacy applications and data AI-ready, with no rebuild. MCP gateways and connectors turn what you already run into services that agents can use. The result is governed agents in production.
Operate runs the AI in production on a 24×7 managed model, with observability and governance for both models and agents. Whatever we build, we run, with the same team.
We wrote our clients' digital transformation. We are writing their AI transformation now. 95% of them return for the next programme, and our largest accounts have stayed five to eight years, because the knowledge compounds inside the account, build to run, with no handoff.
Real-time fraud and AML, intelligent lending, risk and compliance automation, AI copilots for wealth.
Patient 360, population health analytics, clinical AI, HIPAA-compliant governance at scale.
Predictive maintenance, smart factory ops, supply-chain intelligence, OT/IT integration.
SaaS modernisation, agentic SDLC, AI-driven operations, developer productivity.
Engagements organised by what each proves, not by vertical alone.
IoT data application layer with ML failure prediction, embedded in the operations workflow on Azure and Databricks. AI inside the application, not bolted on as a dashboard.
Monolith decomposed to cloud-native microservices on AWS with strangler-fig migration. Compliance cycles cut from weeks to days. Zero service interruption across the migration.
Fragmented EMR, operational, and third-party data unified on Azure, Databricks, and Fabric. Governance by design, no core systems replaced. RAG-ready vector store for clinical AI.
We integrate across the platforms your teams already run. What compounds is the way we assemble and operate everything as one governed system, refined across hundreds of engagements.
Most enterprises do not need a rebuild to start using AI. They need the right path for each application, and one partner
accountable for the whole thing.