AI in production. Not just a demo.
Anyone can build an AI demo in an afternoon. Keeping it accurate, safe and affordable with real customers is the hard part. That is the part we do. We add AI to new and existing PHP applications, with guardrails from day one.
What AI can do for you
Practical AI that saves hours, not hype.
We start from a business problem and measure the result. If a simple rule works better than AI, we will tell you.
Customer support assistants
Answer common questions 24/7 from your own documents and data, and hand over to a person when needed.
Document & invoice processing
Read invoices, orders, CVs and forms, extract the data and put it straight into your system after validation.
Smart search over your knowledge
Let staff and customers ask questions in plain language and get answers with links to the source.
Email & ticket triage
Classify, prioritise and route incoming messages, and draft replies your team approves with one click.
E-commerce content
Product descriptions, translations and SEO texts at scale, in your brand voice and reviewed before publishing.
Workflow agents
Agents that take multi-step actions in your tools, with tight permissions and approval for anything important.
Guardrails
Every AI answer passes through layers of checks.
A language model is powerful but unpredictable. We surround it with ordinary, testable code so your app stays in control.
Input guardrails
- Prompt-injection defence. Users and documents cannot rewrite the assistant’s rules.
- Personal data masking. Card numbers, IDs and contact data removed before anything leaves your server.
- Permission-aware data. The model only sees what this user is allowed to see.
- Rate & budget limits. Per user and per month, so costs never surprise you.
Output guardrails
- Structured output validation. Data is checked against a schema before it touches your database.
- Grounding checks. Answers must cite your sources; unsupported claims are blocked.
- Policy & brand filters. No off-topic, harmful or off-brand responses.
- Human in the loop. Low-confidence or high-impact actions go to a person to approve.
Operations
- Evaluations. A test set of real questions, re-run before every change of prompt or model.
- Monitoring & audit log. Quality, latency and cost per feature, every answer traceable.
- Fallbacks. A second model or a plain non-AI path when a provider is down.
- Kill switch. Turn any AI feature off instantly without a deployment.
Built into your PHP app
No rewrite needed. AI joins the app you already have.
We integrate AI natively into Symfony and Laravel: background queues for heavy jobs, streaming answers, vector search in PostgreSQL, and model-agnostic code so you can switch providers when prices or quality change.
- Claude
- OpenAI
- Mistral
- Self-hosted open models
- pgvector
- Symfony
- Laravel
Your data stays yours
- GDPR-compliant processing with EU data residency options
- Business API terms: your data is not used to train models
- EU AI Act readiness: transparency, logging, human oversight
- Fully on-premise models when data must not leave your servers
How we start
Small, measurable steps. You can stop after any of them.
- 1
AI audit
We review your processes and data and point to where AI pays off, and where it does not.
- 2
Proof of concept
One use case, on your real data, with an evaluation set that shows how well it works.
- 3
Production rollout
Full guardrails, monitoring and a gradual release to real users.
- 4
Run & improve
Monthly quality and cost reports, model upgrades and new use cases.
AI FAQ
What clients ask before starting.
Will the AI make things up?
We ground answers in your own data, require sources and block responses that cannot be backed up. Evaluations measure accuracy before and after every change.
Is our data safe?
Personal data is masked before it reaches a model, providers are used under business terms with no training on your data, and EU-based or on-premise models are available.
How much does it cost to run?
We estimate running costs during the proof of concept, use the smallest model that does the job well, cache repeated work and set hard monthly budgets.
Can you add AI to our existing application?
Yes. Most of our AI work goes into apps that already exist, usually Symfony or Laravel, without a rewrite.
Which AI model do you use?
Whichever fits the task, budget and privacy needs. Our code is model-agnostic, so you are never locked into one provider.
Where could AI save you the most time?
In 30 minutes we look at where AI would pay off in your product, what could go wrong and what it would cost to run.