We engineer Autonomous AI Agents and Private RAG Systems that automate complex workflows, ensuring 10x efficiency with zero hallucinations.
10x
Efficiency Gain
Avg. workflow speedup
0%
Data Leakage
Private, secure models
24/7
Agent Uptime
Continuous operation
<2s
Response Time
Low-latency inference
We move beyond 'Chat with PDF'. We build intelligent systems that take action.
Move beyond chatbots. We build autonomous agents (using LangChain/AutoGPT) that can execute multi-step workflows—like researching leads, drafting emails, and updating your CRM—without human intervention.
Chat with your data safely. We engineer Retrieval-Augmented Generation (RAG) pipelines that allow LLMs to answer questions based *only* on your internal PDFs, Notion docs, and SQL databases, ensuring zero hallucinations.
If it follows a rule, we automate it. We combine RPA (Robotic Process Automation) with AI to handle unstructured tasks like invoice processing, contract analysis, and customer support triage.
Generic models fail on niche tasks. We fine-tune Open Source models (Llama 3, Mistral) on your specific industry data to create proprietary models that outperform GPT-4 for your use case.
Build voice agents that sound human. We use low-latency transcription (Whisper) and synthesis (ElevenLabs) to create phone agents that can schedule appointments and handle support calls.
Stop reacting, start predicting. We use machine learning on your historical data to forecast churn, predict inventory shortages, and identify fraudulent transactions before they happen.
A scientific approach to AI adoption. We prioritize data security and measurable ROI at every stage.
AI is only as good as the data. We analyze your unstructured data (PDFs, Logs, Audio) and structured SQL databases to determine if they are "AI Ready" and compliant.
We design the brain. We select the vector store (Pinecone/Weaviate), the embedding models, and the orchestration framework (LangGraph) that will power your solution.
We build the mind. We ingest your data, fine-tune the models, and implement "Guardrails" to ensure the AI never generates toxic or incorrect output.
AI drifts over time. We deploy MLOps pipelines to monitor model performance, track token usage costs, and retrain the model automatically as new data comes in.
AI isn't one-size-fits-all. We build custom models trained on industry-specific data.
Automated underwriting and fraud detection. We build agents that analyze bank statements and claim photos to approve low-risk cases instantly.
AI scribes that listen to doctor-patient conversations and auto-fill EMR records, saving doctors 2 hours of paperwork daily.
Predictive maintenance. We analyze sensor data to predict when a machine will fail 48 hours before it happens, preventing downtime.
Hyper-personalization. We build recommendation engines that adapt to user behavior in real-time, increasing average order value (AOV).
Contract review at scale. Our RAG systems can scan thousands of pages of legal discovery to find specific clauses or contradictions.
Tier 1 support on autopilot. Our agents resolve 60% of tickets (refunds, status checks) without a human, escalating only complex issues.
We use the latest State-of-the-Art (SOTA) frameworks to ensure your AI is fast, accurate, and scalable.
Clarifying security, costs, and capabilities of Enterprise AI.
No. We build 'Private AI' instances. We use Azure OpenAI or self-hosted Open Source models (Llama 3) where data retention is turned off. Your data never leaves your secure environment and is never used to train public models.
Don't just chat with AI. Hire it. Deploy autonomous agents that work alongside your team.