AI & Agentic AI
Generative AI built on your content, not the open internet
Drafting, summarising, extracting, translating and generating — grounded in your own systems so the output is usable rather than merely plausible.
Generative models are extraordinary at producing fluent text and poor at knowing when they are wrong. Every enterprise generative AI system we build therefore has two halves: the generation, and the machinery that keeps it honest — retrieval, constraints, validation, and human review where the stakes justify it.
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We work across hosted models and open-weight models deployed inside your own boundary, and we are deliberately unopinionated about which. The choice follows your data residency, latency, cost and control requirements, not a vendor relationship.
Every build ships with an evaluation set. If we cannot measure whether the system is getting better, we do not consider it finished.
What you get
- Output grounded in verifiable internal sources
- Measurable quality via an evaluation suite rather than anecdote
- A clear cost-per-task model before scale-up
What's included
Grounded generation
Structured extraction
Summarisation and drafting
Prompt and context engineering
Evaluation and guardrails
Fine-tuning and adaptation
Where this applies
- Teams spend hours writing documents that follow a predictable structure
- Information exists but only as prose, and downstream systems need fields
- Responses to customers or regulators must be consistent in tone and content
- A hosted model is not permissible and the workload must stay inside your network
Technologies
- OpenAI GPT models
- Mistral
- LLaMA
- Ollama
- Hugging Face
- LangChain
- Python
- FastAPI
Ready to talk about Generative AI?
Tell us about the process or problem, and we'll tell you plainly whether this is the right starting point.
Or reach us directly at info@ontogenesistechnologies.com · +91-9999101853