Generative AI and LLM integration on your own data.
In generative AI development, we build chat, search and drafting tools that answer from your documents and records, show where each answer came from, and respect who is allowed to see what.
A 30-minute call with an engineer who builds AI systems.
Generative AI features
Chatbots and assistants
Answer customers or staff in plain language, in their own language, from your content.
Search on your own data
Find answers across documents and records, with a link to the source for every answer.
Drafting and summaries
Draft emails, letters, reports and summaries that people review and send.
Image generation
Text-to-image and image editing features, including models such as Stable Diffusion.
Voice
Speech to text and read-aloud answers, for apps and websites.
Model choice and hosting
Hosted models or private ones running on your own servers, chosen per task.
Generative AI we have shipped
AI-assisted patient intake for a healthtech company
Patients struggled to fill in forms without help, the EMR needed extra installs, and booking, records and follow-up were disconnected.
OpenAI chatbot that helps seniors avoid fraud
Older people needed one trustworthy place to learn about Medicare, Social Security and financial fraud, in plain language.
Pixel Genie: AI avatars and text-to-image app
Existing avatar and image tools were expensive, limited and hard to use.
Generative AI development, from pilot to production
Choose the use case
One question people ask often, or one document they write often.
Prepare the data
Then we collect, clean and index the content the AI will answer from.
Build and test
Next, we build the feature and test answers against real questions.
Launch and watch
Finally, we go live, track the questions that fail and improve them.
Common questions
Will the AI make things up?
We reduce this by answering only from your content and showing the source of each answer. Also, when it cannot find an answer, it says so.
Is our data used to train public models?
No. We use model settings and providers that do not train on your data, or run models on your own servers when that is required.
Which model should we use?
It depends on the task, the cost per question and your privacy needs. For that reason, we test the options on your real questions and recommend one.
Can it work in other languages?
Yes. We have shipped chat that accepts several languages and voice input, with answers read aloud.