Hire AI engineers who put agents into production
Our engineers build AI agents that do real work inside your workflows, running on XDQ AgentOS with human approval gates, audit logs and guardrails. Fixed price, weekly demos, and you own the code and IP.
Agents with a human gate
Every agent runs on XDQ AgentOS. Actions that matter wait for a person to approve them, and every step is logged for audit.
Built around your workflow
We start from a real process, such as claims checks, RFQ to quote or KYC review, and measure the agent against how the work is done today.
Model choice stays yours
We select models per task and keep the agent portable, so you can change providers later without rebuilding the workflow.
Security for the AI layer
We test for prompt injection, tool abuse and leaked secrets before launch and re-test after changes. Guardrails and secret scanning run on every deploy.
Data foundation first
Agents are only as good as the systems they read. We fix the data and integrations an agent depends on as part of the scope.
Proven on our own products
We build and run Drapto, Quotarider and the XDQ xAgents compliance agents, so the patterns we use are already tested in production.
From first call to delivery
Pick one workflow and its success measure
Build a fixed-price pilot agent with approval gates
Run it supervised against real work
Extend, hand over or retain
Common questions
What do your AI engineers build?
They build agents that complete defined tasks inside your business: reading documents, checking claims, drafting quotes, qualifying leads, reviewing KYC files or answering security questionnaires. Each agent connects to your existing systems, runs on XDQ AgentOS, and pauses for human approval on any action you choose to gate. We also build the integrations, data pipelines and dashboards the agent needs to be useful.
How much does an AI agent pilot cost?
A pilot agent for one workflow typically sits in our USD 5,000 to 20,000 band. Production agents with several integrations fall in USD 20,000 to 50,000, and multi-agent platforms delivered in phases in USD 50,000 to 200,000. Smaller reviews or feasibility checks can fit in USD 1,000 to 5,000. Every quote is fixed and given after a short brief, with tests and handover included.
Which AI models do you use?
We choose the model for each task based on accuracy, cost, data residency and your own policies, and we design agents so the model can be changed without rebuilding the workflow. We do not tie your product to a single provider. If your organisation already has an approved provider or a private deployment, we build on that and document the choice in the scope.
How do you keep AI agents safe in production?
Every agent runs on XDQ AgentOS, which adds human approval gates, audit logs and guardrails. You decide which actions need a person to sign off. Before launch we test for prompt injection, tool abuse and leaked secrets, and secret scanning and policy checks run automatically on every deploy. After each change, we re-test and verify the fixes before release.
Should we hire AI engineers in-house instead?
If AI is your core product and you plan to run many agents for years, an in-house team is worth building, and we can help you plan it. If you need one or two agents in production soon, a fixed-price build from us is usually faster to start. Handover includes code, documentation and a walkthrough, so your own hires can take over when they join.
From USD 49 or INR 2,999 a month. A person approves every step.