TechManthan

All Services

TechManthan partners with organizations to design, build, and scale next-generation digital platforms. Our services span agentic AI, data strategy, cloud transformation, distributed systems engineering, and industry-focused digital solutions — helping enterprises move faster, operate leaner, and turn technology investment into measurable business outcomes.

Agentic AI Solutions Development

Most enterprises are not short of models, dashboards, or insight. What they lack are systems that act. We build agentic solutions that take ownership of an outcome end to end — given a business objective, they plan the work, execute it across existing enterprise systems, and adapt as conditions change, bringing people in only where judgment, risk, or regulation demands it. Because these systems act rather than advise, we ground them in your own governed enterprise data using retrieval-augmented generation (RAG), so every action and recommendation is traceable back to source — a prerequisite for any organization operating under audit or regulatory scrutiny.

We apply the same discipline to delivery itself. By embedding agentic methods across analysis, engineering, testing, and migration, we compress programmes that traditionally ran for quarters into a fraction of the time and cost — without loosening governance, quality, or control. The outcome our clients care about is simple: faster time to value, a lower cost to serve, and operations that scale without scaling headcount.

See this approach applied end to end in our case study: Unified Fraud Detection Platform (UFDP).

Data Strategy & Platform Modernization

We help enterprises move from fragmented, siloed data environments to governed, cloud-native platforms built for analytics and AI. This spans data operating model design, lakehouse architecture on platforms like Databricks and Snowflake, metadata and governance frameworks, and modernizing legacy ETL into scalable, cloud-native pipelines — built to support both regulatory compliance and downstream AI/ML use cases.

Cloud Transformation & Infrastructure Engineering

We lead end-to-end cloud migrations and re-architect existing workloads for performance, resilience, and cost efficiency. This includes migrating legacy Hadoop and on-prem ETL estates to the cloud, containerizing services, designing hybrid and multi-cloud environments, and automating infrastructure provisioning with Terraform — so platforms scale predictably as demand grows.

AI & Machine Learning

We build models that hold up in production, not proofs of concept. Work spans predictive and classification modelling for problems such as fraud detection, credit risk, and customer churn, through to feature engineering, deployment at scale, and the explainability and monitoring controls that regulated industries require before a model is trusted with a live decision.

Real-Time & Distributed Systems

We build event-driven, distributed architectures engineered for real-time responsiveness at enterprise scale. This includes streaming pipelines with Kafka, Spark, and Flink, microservices running on Kubernetes, and the observability tooling needed to operate these systems reliably in production.

Industry-Focused Digital Solutions

We develop modular, industry-specific platforms rather than generic tooling — including the Unified Fraud Detection Platform (UFDP) for BFSI, mortgage automation workflows, real time risk analysis for microfinance, and ESG/sustainability platforms supporting clean mobility and finance use cases, tailored to the compliance and operational realities of each sector.

Data Strategy & Platform Modernization

Transforming Data into a Strategic Advantage

In the digital economy, data is the lifeblood of enterprise transformation. Yet, many organizations face fragmented data landscapes, disconnected initiatives, and limited AI-readiness. TechManthan helps enterprises design and implement a unified, governed data ecosystem- turning static information into actionable intelligence.

Our Approach

  • Data Strategy & Operating Model – Define enterprise-wide data vision, governance frameworks, and ownership models.
  • Architecture & Platform Design – Implement domain-driven architectures, Data Mesh/Fabric, and lakehouse strategies.
  • Data Lake Enablement – Build governed lakes with automated lineage tracking, metadata management, and secure access control.
  • ETL & Pipeline Modernization – Migrate legacy ETL platforms (Informatica, Teradata, MAPR) to cloud-native, streaming pipelines.
  • AI-Ready Infrastructure – Prepare your data platform for BI, advanced analytics, and Generative AI adoption.

Use Case

At Tech Manthan, our approach draws directly from real transformation experience, at a global banking major, consolidating 17 fragmented data silos into 7 unified data domains, the foundation from which data governance policy and downstream data products were subsequently built.

Business Outcomes

  • 30–50% reduction in data processing costs
  • Faster AI/ML deployment cycles
  • Enhanced regulatory compliance
  • Real-time business decisioning
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Cloud Transformation & Infrastructure Engineering

Unlocking Scalability and Agility with Secure Cloud Journeys

Cloud adoption is no longer optional—it’s the foundation of digital business models. TechManthan specializes in zero-disruption migrations that re-architect workloads for performance, scalability, and cost efficiency.

Our Approach

  • Automation-First Execution – Deploy Terraform, Pulumi, and CI/CD pipelines for faster, repeatable migrations.
  • Workload Assessment & Planning – Evaluate legacy systems and design cloud adoption roadmaps.
  • Lakehouse Migration – Move data warehouses and ETL pipelines to BigQuery, Snowflake, Databricks, or other lakehouse architectures.
  • Application Modernization – Break down monoliths into microservices and containerized workloads.
  • Hybrid/Multi-Cloud Orchestration – Enable resilience and vendor flexibility.

Use Case

We led the migration of major healthcare clients, including a large regional health plan, off legacy MapR and SQL-based systems onto a modern AWS and GCP stack spanning BigQuery, Databricks, and Snowflake. The initiative targeted 30%+ cost optimization alongside faster analytics, improved scalability, stronger non-functional performance, and self-service capability for end users.

Business Outcomes

  • Reduced operational costs and technical debt
  • Enhanced security and compliance in cloud environments
  • Increased agility for future digital initiatives
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AI, ML & Generative AI Solutions

From Hype to Enterprise-Grade AI Solutions

Generative AI is redefining industries—from financial services and risk management to customer experience. Yet, many enterprises struggle with architectural immaturity, unclear use cases, and governance challenges. TechManthan delivers pragmatic, secure, and explainable GenAI solutions that translate innovation into tangible business value.

Our Approach

  • Use Case Discovery – Identify high-impact applications tailored to your industry.
  • RAG Assistants & Copilots – Build domain-specific conversational AI tools grounded in enterprise data.
  • Custom Model Development – Fine-tune open models using LoRA, PEFT techniques for faster, cost-effective training.
  • Agentic Workflows – Deploy agent-based AI solutions with LangChain, LlamaIndex, CrewAI frameworks.
  • Governance & Observability – Implement AI guardrails, monitoring, and audit trails to ensure trust and compliance.

Use Case

We’ve delivered production-grade ML and GenAI across multiple domains, credit default prediction, metadata and glossary lineage, AI-assisted test case management, event correlation, and telematics-driven risk profiling for insurance underwriting. For a financial services client, we developed a regulatory copilot that assists teams in interpreting complex compliance changes, using Retrieval-Augmented Generation (RAG) with internal policy documents to ensure high accuracy without exposing sensitive data to public models.

Business Outcomes

  • Reduced manual compliance review time by 40%
  • Improved decision-making accuracy
  • Safe deployment of AI with complete auditability
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Real-Time & Distributed Systems

Building the Backbone of Modern Digital Enterprises

Digital businesses operate on distributed systems that must handle massive data flows with low latency and high reliability, from a bank routing a data request in seconds instead of months, to a telecom platform reacting to millions of events an hour. TechManthan engineers resilient, observable, and scalable systems that power mission-critical operations.

Our Approach

  • Microservices Architecture – Design and deploy service-oriented systems with clear domain boundaries.
  • Containerized Infrastructure – Implement Kubernetes/OpenShift for agility and scalability.
  • Real-Time Data Processing – Build streaming pipelines with Kafka, Spark, and Flink for instant insights.
  • Observability & Reliability – Centralized monitoring using Prometheus, Grafana, ELK/EFK, OpenTelemetry for proactive issue management.

Use Case

At a large bank, we built a data marketplace API broker layer, exposed through Apigee, letting internal teams publish and subscribe to data products directly. This cut data consumption turnaround from months to hours. At the same bank, we built a near-real-time complaint correlation system that detects drops in product usage across loan, mortgage, and credit card lines, automatically correlating them with complaint signals and routing recommended actions to the right team. Separately, for a telecom provider, we built a streaming microservices platform processing 2M+ events/hour with sub-second latency, powering fraud alerts, personalized recommendations, and billing automation.

Business Outcomes

  • Reduced operational latency from minutes to seconds
  • Increased system resilience and uptime
  • Scalable infrastructure supporting millions of events
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Industry-Focused Digital Solutions

Tailored Solutions for BFSI and Public Sector Transformation

Generic solutions often fail to address the complexities of regulated and high-value industries. Tech Manthan builds modular, scalable, and domain-specific platforms for BFSI, Public Sector, and emerging sustainability programs.

Our Solutions

  • Unified Fraud Detection Platform (UFDP): AI-driven fraud prevention engine with multi-agent collaboration and real-time anomaly detection.
  • Mortgage Processing System: Automated loan origination and approval with intelligent document analysis and risk scoring.
  • Sustainability Initiatives: Early-stage solutions for ESG scoring, carbon tracking, and sustainable mobility frameworks.
  • Borrower Risk Prediction System (Microfinance): Real-time credit risk scoring for microfinance lending, combining deterministic rules with ML-based default prediction to reduce NPAs without slowing loan officers down.

Use Case

UFDP has been deployed for leading banks to detect identity fraud and transaction anomalies, leveraging a dual-layer AI architecture for both experimentation and production operations. A related engagement applied the same tiered-decisioning approach to microfinance lending, combining deterministic rules with ML-based default risk scoring to reduce NPAs without slowing down loan officers. Read the case study.

Business Outcomes

  • Reduced fraud losses by up to 30%
  • Shortened mortgage approval cycles
  • Enabled organizations to meet ESG and sustainability mandates
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