AI that does real work for your business.

DigyAi is an AI development company. We design, build and run AI agents and LLM applications for enterprises, along with the data engineering, cloud infrastructure and software they depend on. Every system is built in your own environment, cloud or on-premises, and in your own repositories, then kept live with evaluation, monitoring and on-call support.

They take on the multi-step work your teams repeat across systems every day: resolving support cases, processing invoices and claims, reconciling records, preparing reports and routing requests. An agent reads the request, gathers what it needs from your systems, acts within the permissions you grant and hands anything unusual to a person. The strongest first candidates are high in volume, governed by clear rules and already measured.

Yes. Agents work through the same APIs and permissions your people use, in platforms such as SAP, Salesforce, ServiceNow, Microsoft Dynamics and Zendesk, and in your own databases and internal services. Each connection is a typed tool or MCP server scoped to the acting user, and where a system has no usable API, we build the integration it needs.

It depends on how many systems the agent acts in and how ready your data is, and discovery turns that into a dated plan for every phase before the build starts. From then on you see working software every two weeks, and the agent runs in shadow mode beside your team until it matches their results, so the launch date follows the evidence.

No. Models run on enterprise endpoints with zero data retention, or as open-weight models inside your own environment, so your prompts, documents and outputs never train anyone's model. Your data stays in the region or data center you choose, encrypted in transit and at rest, and we sign your NDA and DPA before any access is granted.

Yes. We deploy open-weight models on your own servers or private cloud, sized to the workload and run with the same evaluation, monitoring and access controls as any hosted model. Where a task needs a frontier model, it runs through an enterprise endpoint with zero data retention in the region you choose, and you decide which data may reach it.

Answers come from your own records, and every action is gated by its consequence. Each answer cites its source, and groundedness is scored on your evaluation set before every release. Agents act only through tools limited to the acting user's permissions, anything irreversible waits for a named approver on your side, and every step is traced for audit.

We build inside your compliance program and hand it the evidence. Every privileged action leaves an audit record, irreversible steps have human approval, and each system ships with its evaluation results and technical documentation, the records the EU AI Act asks of high-risk systems. We sign your DPA, and a business associate agreement for health data, add EU standard contractual clauses or the UK IDTA where needed, and answer your security questionnaire.

The ones that score best on your own evaluation set. We benchmark frontier models such as Claude, GPT and Gemini against open-weight models for each task, route routine steps to smaller, faster models and keep the strongest model for the hard decisions. Changing providers is a configuration change, so no model vendor can lock you in.

You do, from the first commit. Code lives in your own repositories, and intellectual property is assigned to you in writing, worldwide and permanently, including code drafted with AI assistants, prompts, evaluation sets and any fine-tuned weights. Nothing depends on a proprietary DigyAi platform or license, so you can take the system in-house whenever you choose.

Against a baseline measured before the build. In discovery we agree the numbers your business already runs on, such as hours per case, time to resolution, error rate or throughput, and write down the target. The system is scored against them in shadow mode, and after launch the same measures arrive in a monthly report.

The system is run to a service level. Managed services cover monitoring, on-call response, model and dependency upgrades, and continuous evaluation of a sample of live traffic, so drift is caught before your users notice it. Response times are written into the contract and you receive a report every month. If your own team will run it, the hand-over is documented and walked through with them.

Yes. We work remote-first with clients in the United States, United Kingdom, Europe, Canada, Australia and India, in English, with a daily overlap window written into the contract. DigyAi Technologies (OPC) Private Limited is registered in India under CIN U62099RJ2025OPC105518, and the engineers named in your proposal are the ones who do the work.

With a discovery, or an audit of a system you already run. We map the workflow, the data, the systems and the risks, and you receive a written plan with a measured target and dates for every phase, or a recommendation to buy a product if one would serve you better. The plan is yours to keep, and each phase starts only when you approve it.