
Empower your enterprise with custom generative AI models, hallucination-free RAG knowledge bases, autonomous task agents, and intelligent predictive pipelines.
Fine-tune open-source large language models (Llama 3, Mistral, Qwen) on proprietary enterprise data with strict safety guardrails and real-time streaming tokens.
Connect internal business documents, PDFs, and databases to LLMs via Qdrant vector databases and hybrid semantic search for accurate, verifiable AI answers.
Deploy autonomous agents built with LangChain, LlamaIndex, and AutoGen that plan multi-step tasks, call software APIs, execute database transactions, and request human verification.
Automate document parsing, invoice processing, identity verification, object detection, and visual inspection using custom PyTorch/TensorFlow deep learning models.
Automated document ingestion pipelines for PDFs, DOCX, and SQL stores with Qdrant vector indexing and semantic re-ranking.
Multi-agent orchestration engines capable of querying live APIs, generating SQL reports, and performing background workflows.
Deploy zero-data-leakage open-source LLMs inside your AWS/Azure VPC or private data center with vLLM/Ollama acceleration.
Enforce real-time prompt injection filtering, PII redaction, output validation, and hallucination safeguards.
202, Shitiratna Complex, Panchvati,
Navrangpura, Ahmedabad - 380009,
Gujarat, India