We are engineers first. AI practitioners second. Everything we build integrates with your real systems, scales under load, and delivers the outcomes we promised.
What we build
AI Agents & Chatbots
We build custom AI agents for customer support, sales, HR automation, and internal helpdesks. Context-aware, multi-turn, integrated with your CRM and ticketing systems, available 24/7 across web, mobile, and messaging channels.
Document Intelligence
We extract, classify, and route data from invoices, contracts, reports, and forms — processing multilingual, multi-format documents and integrating with Xero, Salesforce, Tally, and custom platforms. Built with OCR, classification agents, and human-in-the-loop validation. REFERENCE: Agentic Accountant project.
Voice AI & Front-Office Agents
We build intelligent voice agent platforms that answer inbound calls, understand customer intent, check availability, and complete bookings autonomously — with real-time language detection, customer recognition, CRM handoff, and WhatsApp fallback. Built on Twilio, LiveKit, and ElevenLabs. REFERENCE: AI Front Office project.
AI Recruitment Intelligence
End-to-end hiring automation — CV parsing, AI match scoring, live video interview co-pilot with real-time transcription via Deepgram, and post-interview candidate evaluation reports. REFERENCE: AI Recruitment Platform project.
Data Stack Intelligence
Natural language interfaces for enterprise data. Users chat with SQL databases, data warehouses (Snowflake, Clickhouse, Databricks), and unstructured documents. Schema-aware query generation, RBAC at column and row level, graph RAG via Neo4j, Redis semantic caching. No raw data ever reaches the LLM. REFERENCE: Data Stack Agent project.
AI Consultant & Research Platforms
Multi-source research intelligence systems combining vector search, knowledge graph traversal (Neo4j), and web research agents to synthesize structured reports with citations and visualizations. Built on LangGraph, LangChain. Iterative human feedback loops. REFERENCE: AI Consultant project.
ETL & Data Pipeline Engineering
Production-grade ETL pipelines using Apache Kafka, Flink, and Airflow. Custom CDC-enabled connectors, bidirectional sync, multi-tenant UI layers, full observability. Across AWS Glue, Azure Synapse, and Google Vertex AI. REFERENCE: ETL Development project.
Agentic QA Testing
Our AI unit builds autonomous agents that comprehensively discover entire web applications - mapping user journeys, form interactions, validation rules, and conditional UI logic across every page and flow. We capture a complete behavioural graph of the application, generate production-ready automation scripts with self-healing capabilities. Full coverage typically delivered within days of active processing. No application code or API exposure required - ideal for security-conscious enterprises.
Our AI Models & Frameworks
We work across the full AI ecosystem — choosing models based on your specific requirements. We run structured LLM evaluation pipelines using DeepEval and Opik, measuring contextual recall, faithfulness, answer relevancy, and response stability before anything reaches a client environment.
LLMs: OpenAI | Anthropic | LLaMA | Mistral | Qwen-9B
Frameworks: LangChain | LangGraph | TensorFlow | PyTorch | Scikit-Learn
Evaluation: DeepEval | Opik
Infrastructure: Twilio | LiveKit | Deepgram | ElevenLabs | Redis | Neo4j
Cloud: AWS Glue | Azure Synapse | Google Vertex AI | Kubernetes | Docker
Frequently asked questions
How long does an AI implementation project take?
Most focused AI implementations ship a working v1 in 6–10 weeks. We start by scoping exactly what "working" means with your stakeholders, then build a scoped first version that delivers measurable outcomes before expanding.
Which AI models and platforms do you build with?
We work across OpenAI, Anthropic, LLaMA and Mistral, choosing the model that fits the use case, data-privacy needs and budget rather than defaulting to one provider.
Do you only do demos, or production systems?
Production systems. We build AI agents, document-intelligence and voice platforms that run under real-world load, with QA wired in from day one so they hold up in production, not just in a demo.
Can you work with our existing software and data stack?
Yes. We integrate AI into the systems you already run — ERP, CRM, internal tools and data pipelines — rather than requiring you to replace them.