Portfolio

Client AI Products We Have Shipped

The fastest way to evaluate an AI development partner is to look at what they have delivered for paying clients. The projects below are not internal experiments or demos. They are production AI products: built on client briefs, delivered against real deadlines & running in production today. Our team owned the full stack: model training, integration, MLOps & deployment.
Fintly
Fintech / BFSI

What the client needed: An AI-powered analytics and automation layer for financial data has surfacing insights, automating reporting & detecting anomalies that manual review was missing.

What we built: NLP pipelines trained on financial document corpora; predictive analytics models for pattern detection; automated insight generation engine; anomaly alerting with configurable thresholds.

Financial NLP Predictive Analytics Anomaly Detection
Procbay
B2B Procurement Marketplace

What the client needed: A smarter vendor discovery experience is moving beyond keyword search to semantic matching that understands procurement intent and vendor capability.

What we built: Custom embedding models trained on procurement taxonomy and vendor profile data; semantic similarity matching at query time; spend analytics layer on top of transactional data.

Custom Embeddings Semantic Search Spend Analytics
Procxo
Procurement AI Copilot (SaaS)

What the client needed: An AI copilot for procurement leaders the one that could generate RFP responses, analyse vendor contracts, benchmark pricing against market data & surface procurement risks.

What we built: Fine-tuned LLMs on proprietary procurement datasets; contract analysis pipeline using NLP extraction and clause-level classification; pricing benchmarking model; risk signal detection layer.

LLM Fine-Tuning Contract NLP RAG
Expertshub
AI-powered Talent Marketplace

What the client needed: A marketplace that matches projects to the right freelance experts semantically just not by keyword, but by true capability and requirement fit.

What we built: Custom embedding models trained on expert profile data and project requirement language; semantic matching engine; AI-assisted project brief writing feature; automated proposal relevance scoring.

Custom Embeddings Semantic Matching Proposal Scoring

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