AI Integration
Add large language model features to your software: assistants that answer from your documents, smarter search, summaries and data extraction.
Large language models are useful when they are connected to your data and held to measurable standards. We add AI features to new and existing software: assistants that answer from your knowledge base, search that understands questions, and pipelines that pull structured data out of invoices, emails and PDFs.
We pick the model to fit the job, whether that is a hosted API, an open-weight model or one fine-tuned on your data. We build evaluation sets first, so you know how accurate a feature is before your customers rely on it.
What’s included
Use-case assessment
Finding the tasks where AI saves real time, and the ones where it shouldn’t be trusted.
Retrieval-augmented generation
Assistants that answer from your documents and cite their sources.
Document processing
Extracting fields from invoices, forms and PDFs straight into your systems.
Semantic search
Search that understands meaning instead of only matching keywords.
Evaluation & guardrails
Test sets, accuracy tracking and clear limits on what the model can do.
Integration
AI features wired into your web app, mobile app or internal tools.
Typical projects
- Internal knowledge-base assistants
- Drafting answers for customer support
- Invoice and purchase-order data extraction
- Product description and catalog enrichment
- Searching contracts, manuals and policies
Tools & technology
- Python
- Hosted LLM APIs
- Open-weight models
- Vector search
- PostgreSQL + pgvector
- Node.js
Frequently asked questions
Will our data be used to train someone else’s model?
Not with the setups we recommend. We use API terms that exclude training on your data, or run models on infrastructure you control.
How do you stop the AI making things up?
We ground answers in your documents, require citations, test against real questions and design the feature so a person checks important outputs.
Do we need our own model?
Usually not to start. Most projects begin with an existing model and your data. Training a custom model makes sense once you have volume, strict privacy needs or a narrow task.
Often paired with
AI Agents & Automation
Automate repetitive back-office work with AI-assisted workflows and agents that read, decide and act inside your systems, with a person approving what matters.
Learn moreLocal Model Training & Private AI
Fine-tune open-weight language models on your data and run them on your own servers or private cloud, so sensitive data never leaves your control.
Learn moreCustom Software Development
Business applications, internal tools and APIs designed around how your team actually works. You own the source code.
Learn moreReady to get started?
Tell us about your systems and goals, and an engineer will reply with next steps for AI Integration.