- Strategic AI Partner
Delivering the power of AI, Gen AI, Agentic AI
Reimagine your business processes with our experts, reengineer them with our skills, Reach out to the market faster with our vibe coders and AI enabled SDLC teams. Along with it, what you will find is some curious, collaborative and impactful people to work with here.
Trusted by industry leaders
Agentic AI Impact
Discover Our AI Development Services
From concept to production, we deliver end-to-end software solutions that combine deep
engineering expertise with cutting-edge AI capabilities.
Enterprise AI & Agentic transformation
Design and deliver production-grade agentic frameworks, agents that plan, execute and learn — then orchestrate many agents into business workflows with observability and governance.
- Platform Engineering
- Platform implementation
- Multi agent orchestrations
Gen AI product engineering
Build Gen AI based products as a startup, including AI in SDLC and build products to scale.
- AI native SAAS
- Custom AI Assistants
- Multi modal AI apps
Knowledge Engineering
Build knowledge graphs and fuse them with retrieval-augmented generation to deliver context-rich, auditable answers — ideal for domain-heavy enterprises.
- Explainable AI
- Graph aware RAGs
- Enterprise integrations
Intelligent Automation using AI & Gen AI
Integrate GenAI into business automation using business process automation platforms bringing in massive productivity improvements.
- N8n
- Power platform
- Bedrock
Document Processing Pipelines for Gen AI
Ingest, translate, normalize and extract intelligence from enterprise documents using cloud services and custom pipelines
- OCR
- NER
- PII detections
- Indexing
Data & AI platform
Modernize enterprise data estates into AI-ready platforms that power analytics, GenAI, and autonomous systems. Build and use data lake house, implement governance controls, find lineage, tag data and get them all ready as data products for them to be consumed internally.
- AI-Ready Data
- Data Lineage
- Data Products
Agentic Framework observability
Monitor your agentic framework that wraps multiple models and toolkits. Understand the overall token usage to tracing issues.
- Token Tracking
- Model Observability
- Agent Monitoring
Model training
Train custom models. Deploy them and monitor and improvise them constantly. Be it a BERT model or a custom model.
- BERT Training
- NER
- PII detections
- Indexing
AI in SDLC
Improve productivity significantly. Reduce the number of head counts required for the dev. Our teams spanning the entire spectrum of application development will do this exactly.
- AI-Driven Dev
- Dev Productivity
- Code Automation
Vibe coding
Proof of concepts or even production grade applications, our vibe coders will do the job for you.
- Rapid Prototyping
- Production Ready
- Agile Builds
Synthetic AI persona building
Interesting personas built using special archetypes could answer questionnaires or surveys or answer in ways that can reduce your cost to do them physically.
- AI Personas
- Behavioral Archetypes
- Cost Reduction
Advanced prompt engineering
Whatever your Gen AI work is, you need this at the heart of it. And our experts will use these across their job roles.
- GenAI Strategy
- Prompt Optimization
- Context Engineering
Our Case Studies
Discover how we’ve helped our clients overcome challenges and achieve success through innovative solutions.
Enhancing Financial Integrity with an AI-Powered Revenue Leakage Detection Platform
Our client is a globally recognized pharmaceutical manufacturing and research organization with a strong presence in large-scale pharmacy healthcare. The organization operates within a highly regulated environment and places significant emphasis on compliance, data integrity, and financial governance. With multiple pharmacy and claims data systems supporting its operations, the client required a robust, scalable solution to monitor revenue risks and abnormal behaviours across its ecosystem.
Scaling NER Data Extraction in Pharma & Life Sciences: Turning Unstructured Data into Actionable Intelligence
Pharma and life-sciences teams sit on mountains of unstructured text — clinical study reports, adverse event narratives, lab notes, regulatory submissions, and investigator emails. Important entities (drug names, dosages, patient demographics, adverse events, lab values) are scattered, noisy, abbreviated, and written in diverse templates and languages. Manual review is slow, inconsistent, and costly; downstream analytics, safety signal detection, and regulatory reporting suffer from incomplete or non-standardized data.
Unlocking Advanced Text Understanding with BERT in Life Sciences
Life sciences and pharma organizations are sitting on vast amounts of unstructured data: clinical trial reports, patient safety narratives, lab notes, regulatory submissions, and scientific literature. Extracting meaningful insights from this data is critical for drug safety, research, and regulatory compliance.
Building High-Quality AI Outcomes with Smart Data Labelling
AI projects in the pharma and life sciences sector often stall before they start — not because of poor algorithms, but because of poor data.
Centralized AI-Driven User Feedback & Complaint Management
Organizations often struggle to efficiently capture and act on user complaints and feedback. Fragmented communication channels, inconsistent reporting, and lack of structured inputs lead to delayed resolutions, reduced customer satisfaction, and missed opportunities for improvement.
AI-Powered Release and Documentation Management
Release managers and development teams often face fragmented information while planning releases and drafting Change Requests (CRs). Tracking the latest release updates, linking Jira tickets, and preparing comprehensive release notes is time-consuming. Additionally, technical documentation and release notes are scattered across multiple platforms, making knowledge discovery slow and inefficient.
