AI integration · Custom software · Consulting
Petelink is a senior engineering team. We put AI and custom software inside real business processes (ERP, CRM, warehouses, back-offices) and keep them running.
A small senior team. You talk to the engineers who build it.
illustrative architecture
Why Petelink
A demo shows what a model can do. Production needs integration with the systems you already run, access control, error handling, cost limits, tests and someone on call. We design for that from day one, so what you see in the first weeks is what you run later.
Services
01
Put language models, retrieval and agents into the processes where they pay off: document intake, customer operations, internal search, approvals, reporting.
02
Systems that manage customers, orders and warehouses, and replace slow, outdated back-offices. Built to carry load and to change as your business does.
03
Pipelines and analytics for large volumes of data, with search and reporting your teams can actually use.
04
An independent view before you commit budget: where AI fits, what to build or buy, and how to do it securely.
How we work
We do not ask for a requirements specification. We ask about your goals, then agree how success will be measured.
illustrative
Step 01
Short conversations with the people who run the process. We map the process, the data and the systems, and pick the use case with the clearest return.
Step 02
A working prototype on your own data, scored against criteria agreed in advance. If it does not meet them, we say so early.
Step 03
Production engineering: integration with your systems, access control, tests, evaluations and a security review.
Step 04
We monitor quality, cost and latency, update models and prompts as they change, and maintain the system over time.
Principles
Measured
We build an evaluation set from your real cases and agree a pass threshold with you. Each change to a prompt, model or code is scored against it.
Controlled
Where a decision has consequences, deterministic code and a human sign-off sit between the model and the outcome. Access is least-privilege, sensitive data is minimised or redacted, actions are logged.
Honest
Sometimes a rule, a query or a better form does the job at a fraction of the cost. We say so, and build the simpler thing.
illustrative
Stack
We pick the technology that saves you time and money, and we stay model-agnostic.
Team
CTO · Lead architect
Software architect with 15+ years of experience delivering 30+ production applications across GenAI, financial systems and enterprise platforms. He has led engineering teams building LLM-based products and data-heavy platforms on Python and cloud infrastructure, and works as a system architect and security specialist.
LinkedIn ↗Engineering · QA · Product
Senior full-stack engineers, a testing specialist and a product owner. A small team by design: the people who scope the work are the people who build it.
FAQ
Petelink is a senior software engineering team that integrates AI and builds custom software for businesses: ERP, CRM and warehouse systems, data platforms and AI-powered automation of business processes. We also advise on AI strategy, architecture and security.
We start with the process and the goal, not the model. We map the data and systems involved, build a prototype on your data, score it against criteria agreed in advance, and only then engineer it into production with access control, logging and monitoring.
Yes. We integrate through APIs, events and data exports, so you keep the systems you already run. Where a legacy system has no API, we design a safe way around it or replace only the part that blocks you.
We minimise and redact sensitive data before it reaches a model, use least-privilege access, log actions, and keep deterministic rules and human approval between a model and any consequential decision. A security review is part of every build.
With a discovery call. We ask about your goals, agree a scope and a success metric, then propose a prototype or a fixed-scope review. Write to welcome@petelink.dev.
Both. We can review and advise, build the system, and operate it afterwards with monitoring and updates.
Email the process, the systems involved and the outcome you want. A senior engineer replies.
Email us the process and the systems involved