Language models, wired into your business.
We connect large language models to your product and your data, tune them for speed and cost, and keep answers grounded in what you know.
Your documents
- Returns policy
- Shipping guide
- Product manual
How we build one
From idea to live integration in five steps.
The prompt takes shape on the left as each step is finished and checked with you.
Model
Context
Manuals, policies and product pages
Instructions
Answer only from the context. Cite the source. Say so when you are not sure.
Checks
- Question with a clear answer
- Question across two documents
- Question with no answer
Monitoring
- Step 1
Choose the model
Match the model to the job, the budget and your privacy needs.
- Step 2
Connect your data
Index your content so answers come from your own sources.
- Step 3
Design the prompts
Write, test and version the instructions the model follows.
- Step 4
Evaluate
Score answers on your real questions and fix the weak spots before launch.
- Step 5
Ship and monitor
Track cost, speed and answer quality after launch.
What you can build with an LLM
Six common builds. Each one is tested before launch.
Chat over your documents
Answer questions from your manuals, policies and product pages, with links to the source.
Prompt design
Prompts and templates that give steady, on-brand results instead of surprises.
Tools and actions
Let the model call your systems: look up an order, create a ticket, update a record.
Writing and summaries
Product descriptions, email drafts, meeting and ticket summaries.
Search that understands
Find things by meaning, not only by exact keywords.
Guardrails and evaluation
Tests, filters and logs so you can see how the model behaves before and after launch.
An example day
What a working integration leaves in its log.
Illustrative entries for a business with a document assistant. Your log will show your own work.
New policy pages were added to the search index so answers stay current.
Source: website, manualsA customer asked about return rules. The answer cited the policy page.
Source: returns policyA question the documents do not cover. The assistant said so and offered a person.
Rule: no answer without a sourceYesterday's support tickets grouped by topic, urgent ones first.
Tools: helpdesk, SlackTwelve product descriptions drafted in the brand voice for review.
Tools: ShopifyDaily report: questions answered, cost, speed and flagged answers.
Sent to the teamNext step
Tell us the problem. We will tell you what is possible.
A developer replies, not a form bot. You can also hire a dedicated AI developer and meet them first.