Developers who build AI agents that complete tasks across your tools, with human checks built in.
Stack we work in
Figures as of Oct 2026
Trusted by
Our AI agent developers build software that takes a goal, works through the steps and uses your tools to finish the job: triaging tickets, updating your CRM, researching leads or processing documents.
They connect agents to your systems through APIs and the Model Context Protocol, keep a person in the loop for important decisions and log every action. They work in your repositories and time zone, and you start with a 15-day free trial.
Few developers have shipped agents that run reliably on real business tasks.
Prototypes loop, call the wrong tool or stop halfway once real data arrives.
Teams need clear permissions, approvals and logs before letting software act on their behalf.
Staff copy data between CRM, email, spreadsheets and help desks by hand every day.
Outcomes
Pick one profile or combine several. Each person works in your tools, repositories and process.
Builds agents that plan and complete tasks.
Gives agents safe access to your systems.
Designs systems where several agents work together.
Proves agents do the job before and after launch.
Reads tickets, finds answers, drafts replies and routes complex cases to people.
Researches leads, enriches CRM records and drafts first outreach for review.
Reads invoices, claims or forms, checks them against rules and updates your systems.
Handles routine steps across ERP, email and spreadsheets on a schedule.
Answers staff requests and completes simple actions like access requests.
Lets AI assistants use your product's data and actions safely.
Planning what the agent does and where people step in.
Building on proven agent tooling.
Built with
Letting agents work in the tools you use.
Built with
Keeping agents predictable in production.
Built with
Featured case study
Every business already owns the sensor network it needs. CCTV records everything and tells you nothing — until someone reviews the footage, usually days after the loss.
Read the case study
We review your requirements, product and goals, and recommend the AI agent developers roles and seniority your project needs.
You receive Role and skills plan
We shortlist pre-vetted AI agent developers who passed our technical evaluation, communication check and team-fit review, and who match your stack and time zone.
You receive Candidate profiles
You interview the shortlisted candidates and choose. Nothing starts until you are happy.
You receive Your chosen team members
Your new team members join your tools, repositories and ceremonies within 48 hours of selection. The first 15 days are a free trial.
You receive People working in your workflow
The team delivers in agile sprints with daily progress reports, and you scale it up or down as needs change.
You receive Daily reports and sprint releases
Tech stack
AI and machine learning
Databases
Backend and APIs
Languages
Cloud and DevOps
Testing and quality
Other tools
Hiring models
Pick the commitment that fits your roadmap and change it as your needs change. Every model works in your time zone, with clear pricing agreed after a call and no hidden costs.
An AI agent developer who works only on your project, full working days, as part of your team. Billed monthly, with a 15-day free trial.
Half-day availability for steady work that does not need a full seat. Billed monthly, and you can move to full-time at any time.
Pay for the hours used, for fixes, audits, small enhancements and short spikes of work. Hours are reported daily, with no long-term commitment.
A fixed scope, timeline and price, delivered by a team we manage end to end, with milestone payments.
A cross-functional squad of developers, QA, a designer and a project manager or scrum master, sized to your roadmap, with one point of contact.
More roles
Hire generative AI developers, data engineers, DevOps engineers and full-stack developers alongside your AI agent developers.
Free trial
Interview the shortlisted candidates, then judge the work in your real project for 15 days before you commit.
It depends on the seniority, the skills you need and the hiring model: full-time, part-time, hourly or project-based. After a short call we share profiles and a clear monthly or hourly rate, with no hidden costs, and the first 15 days are a free trial. As a guide, our data, AI and DevOps engineers range from $30 to $70 per hour (USD), depending on seniority and skills, and full-time monthly engagements cost less per hour than hourly work. We confirm your exact rate after a short call.
It depends on the role, seniority and hiring model. Full-time and part-time engagements are billed monthly, hourly work is billed for the hours used, and project-based work is paid in milestones. After a short call we share profiles and a clear monthly or hourly rate, with no hidden costs.
Pre-vetted people can join your team within 48 hours of you selecting them.
Yes. We align each person to your preferred time zone and working hours so you can collaborate in real time.
The first 15 days are free. Use them to assess skills, quality of work, communication, delivery and fit with your process. If you are satisfied, you continue; if not, you can stop with no obligation.
We sign an NDA, use data encryption, secure storage and regular security audits, and follow GDPR requirements. Equitysoft is ISO 27001 certified. You own all code, designs, data and IP, with no lock-in.
Tell us and we will replace them quickly, so your project stays on track.
You set the priorities and direct the work, just as you would with your own staff. You get daily progress reports and talk to them through your usual email, video, chat and project tools. We take care of employment, equipment, attendance, performance support and replacements.
Each candidate passes a technical evaluation with practical tasks and a review of real work on the skills you need, such as Python or TypeScript, agent frameworks, tool design, evaluations and API integration, not just a CV. We also check spoken and written English, how clearly they explain their decisions, and their experience with agile ceremonies, reviews and documentation. You then interview the shortlist and choose.
A chatbot answers questions. An agent takes actions: it plans steps, calls your tools and APIs, checks results and finishes a task, such as updating a record or sending a follow-up, with approval steps where you want them.
LangGraph, the OpenAI Agents SDK, the Claude Agent SDK, Google ADK, CrewAI and Pydantic AI, plus Model Context Protocol servers for tool access. They pick the simplest option that fits your use case and stack.
Agents get only the permissions they need, important actions wait for human approval, and every step is logged. Developers test agents on real scenarios before release and set limits on spend, retries and actions.
Share the task, systems and timeline. We will propose AI agent developers you can start trialing within 48 hours.
