AI Consulting & Strategy
Roadmaps, readiness assessments, and architecture for enterprise AI adoption — before you write a single line of code.
Most AI initiatives fail not because of bad technology, but because of bad strategy. We start with a deep-dive discovery — your data, your processes, your goals — and design a phased roadmap that delivers ROI at every stage. No vendor lock-in. No hype. Just a clear path from where you are to where you need to be.
Core Capabilities
- AI Readiness Assessment — data maturity, infrastructure, team capability audit
- Enterprise AI Roadmap — phased 12–36 month transformation plan
- Use Case Prioritization — ROI-ranked AI opportunities across your business
- Architecture Design — LLM selection, agent blueprints, data flow diagrams
- Build vs Buy Analysis — make-or-buy decisions with TCO modeling
- AI Governance Framework — policies, ethics, compliance, risk management
- Executive AI Training — C-suite and leadership AI literacy programs
Mr.Lawyer & ClinicAssistant
Two flagship agentic AI products — purpose-built for India's legal and healthcare ecosystems.
We don't just build AI for clients — we build AI products ourselves. Mr.Lawyer and ClinicAssistant are production-grade agentic systems that prove our methodology works. Every capability we offer to enterprise clients is battle-tested in our own products first.
Core Capabilities
- Mr.Lawyer: AI legal assistant in Tamil & English — verified citations, document understanding, notice drafting
- Mr.Lawyer: WhatsApp-native — no app install, works where clients already are
- Mr.Lawyer: Case management — matters, hearings, deadlines, documents in one screen
- ClinicAssistant: AI appointment booking inside WhatsApp — real-time availability, OPD hours
- ClinicAssistant: Automated reminders — 24hr nudge, 2hr directions, post-visit follow-up
- ClinicAssistant: No-show re-engagement — freed slots offered to waiting patients automatically
- Both products: Data stays in India — DPDP-aligned, row-level tenant isolation
Advanced Data Engineering
Production-grade data infrastructure — from raw operational data to a strategic enterprise asset.
Modern enterprises drown in data but starve for insight. We build the infrastructure that changes that — scalable, reliable, and built for the speed of business. From ingestion to insight, every layer is engineered for performance and governed for trust.
Core Capabilities
- ETL/ELT pipeline design and implementation (dbt, Apache Spark, Airflow, Azure Data Factory)
- Modern data lakehouse architecture (Delta Lake, Apache Iceberg, Databricks, Fabric)
- Real-time streaming pipelines (Apache Kafka, Flink, Kinesis, PySpark)
- Cloud data warehouse optimization (Snowflake, BigQuery, Redshift, Synapse)
- Data quality frameworks and observability (Great Expectations, Monte Carlo)
- Master Data Management and data governance (Unity Catalog, Apache Atlas)
- Semantic layer and metrics store implementation
Enterprise AI/ML & GenAI
Custom AI systems built on your proprietary data — delivering measurable outcomes, not proof-of-concept demos.
We build AI that works in production. Not pilots. Not demos. Real systems that integrate with your existing stack, trained on your data, and optimized for your specific business outcomes. GenAI that actually generates value.
Core Capabilities
- Custom LLM fine-tuning and domain adaptation (GPT, Claude, Gemini, Llama, Mistral)
- RAG (Retrieval-Augmented Generation) architecture design and deployment
- Predictive modeling for demand, churn, fraud, and risk
- Computer vision systems for quality control and logistics
- NLP pipelines for document processing, OCR, and extraction
- MLOps infrastructure (MLflow, Kubeflow, SageMaker, Vertex AI)
- AI model monitoring, drift detection, and retraining pipelines
Enterprise Cloud Engineering
Azure, AWS, and GCP — cloud infrastructure designed for AI workloads, built for scale.
AI workloads demand cloud infrastructure that's purpose-built for them — not retrofitted from legacy setups. We architect, migrate, and optimize cloud environments that can handle the compute, storage, and networking demands of modern AI systems at enterprise scale.
Core Capabilities
- Multi-cloud architecture design (Azure, AWS, GCP) with AI workload optimization
- Kubernetes orchestration for containerized AI/ML workloads
- Infrastructure as Code (Terraform, Bicep, CloudFormation)
- CI/CD pipelines for AI model deployment and MLOps
- Serverless architectures for event-driven AI applications
- Cloud cost optimization — FinOps practices for AI compute budgets
- Cloud migration — lift-and-shift, re-platform, and re-architect strategies
Business Intelligence & Analytics
From raw data to executive insight — dashboards, KPIs, and reports that drive decisions.
Data without insight is just storage. We build analytics layers that translate your data infrastructure into business intelligence — real-time dashboards, predictive KPIs, and executive reporting that gives every stakeholder the right information at the right time.
Core Capabilities
- Power BI, Tableau, and Looker dashboard development
- Microsoft Fabric and Azure Synapse Analytics implementation
- Real-time analytics pipelines for operational dashboards
- KPI framework design and metrics store implementation
- Executive reporting and board-level data storytelling
- Self-service analytics enablement and training
- Embedded analytics integration into enterprise applications
Enterprise Software Engineering
Full-stack enterprise applications — React, Next.js, Python, FastAPI, microservices, and more.
AI needs a home. We build the enterprise applications, APIs, and platforms that house your AI systems — from customer-facing web apps to internal tools, from REST APIs to GraphQL services. Every system is built for scale, security, and maintainability.
Core Capabilities
- Frontend development: React, Next.js, Flutter — responsive, accessible, performant
- Backend development: Python, FastAPI, Node.js, Java, .NET
- Microservices architecture and API design (REST, GraphQL)
- Enterprise application development and legacy modernization
- Mobile application development (Flutter, React Native)
- DevOps and CI/CD pipeline implementation
- Security-first development — OWASP, penetration testing, compliance
Autonomous AI Agents
Multi-agent systems that operate enterprise workflows with minimal human intervention — the frontier of intelligent automation.
Beyond RPA. Beyond chatbots. We build cognitive systems that reason, plan, and act — orchestrating complex multi-step workflows across your entire enterprise stack. Agents that don't just automate tasks; they make decisions. Using LangGraph, CrewAI, AutoGen, and the OpenAI Agents SDK.
Core Capabilities
- Multi-agent orchestration frameworks (LangGraph, AutoGen, CrewAI, OpenAI Agents SDK)
- Tool-use and API-calling agent architectures with MCP and A2A protocols
- Long-horizon task planning and execution systems
- Human-in-the-loop oversight and approval workflows
- Agent memory systems (episodic, semantic, procedural)
- Voice agents and multimodal AI agent interfaces
- Agent performance monitoring, audit trails, and safety guardrails
AI for Every Sector
Packaged AI solutions across 15+ industries — each with proven ROI and rapid deployment timelines.
Healthcare
ClinicAssistant + custom AI agents for diagnostics, patient flow, billing
Legal
Mr.Lawyer + contract analysis, compliance monitoring, legal research
Manufacturing
Predictive maintenance, quality control CV, supply chain optimization
Finance & Banking
Fraud detection, credit scoring, regulatory compliance AI
Logistics
Route optimization agents, warehouse automation, demand forecasting
Retail
Recommendation engines, inventory AI, customer service agents
Education
Personalized learning AI, assessment automation, student analytics
Government
Document processing, citizen service agents, policy analysis AI
Pharma
Drug discovery AI, clinical trial optimization, regulatory document AI
Ready to build your Intelligent Enterprise?
Every engagement starts with a no-obligation architecture review. Let's map your transformation path.
Book a Discovery Call