An AI agent
in your product that
gets the job done.
A domain-expert AI agent that does your users' work, right inside your product. One SDK. No new infrastructure to operate.
What your product
can now do.
The moment the expert AI agent is live, your users level up. Three core capabilities they suddenly gain, right inside your product interface.
Finish the whole job, not one step.
Your users hand off a goal and get it done. The expert runs every step to the finish, in the flow.
Days of work, done in minutes.
Tasks your users take days to learn happen the moment they ask. Speed becomes the default.
Always the best-practice way.
Every task done the way your best user would do it. Expert output, every time, for everyone.
An expert for your
most valuable workflows.
Wherever your users do real, multi-step work, the expert does it with them. Live in these verticals today, with more on the way.
construction-tech
RFIs, submittals & change orders.
An AI agent for Construction Tech, working inside your product. It runs each workflow end-to-end, the best-practice way, so your users finish in minutes.
Three steps
to a smarter product.
Retrieval, evals, and observability ship with the SDK. Your team maintains none of it, and adds zero new infra to operate.
Drop in the SDK.
One install. No new infra to operate.
It learns your product.
Point it at your schemas, docs, and stages. Evals ship with the SDK.
Go live inside your product.
Side panel, inline, or modal. Themed to your app, right where users work.
The first thing your
users reach for.
They reach for the expert because it gets the job done faster and better than doing it by hand. That is what drives adoption.
Your numbers,
built in.
Adoption, completion, and time saved — by workflow and tenant. Complete visibility into your agent's impact, right out of the box.
Outcome analytics built in.
Adoption, completion, and time saved — by workflow and tenant.
Schemas, stages, clauses.
Knows your data model and the best-practice way to do each task.
Inline, side panel, modal.
Themed to your app, meeting users right where they work.
Ship behind a flag.
Live inside your product in days.
In every AI agent
your users already use.
Your users live in Claude, ChatGPT, and Cursor. We give your product a managed MCP server, so they can get its work done from wherever they already are. You ship one connection. We run the rest.
We run the MCP server.
Hosting, auth, and the tool design are ours. You connect your product once.
Your actions, agent-ready.
Your workflows become clean, safe tools any AI agent can call and finish.
Evals and updates included.
We keep the tools, schemas, and guardrails current as your product grows.
Right inside your product, where your users already work.
Notes on production AI &
LLM infrastructure.
Cost optimization, routing, self-hosting, and production AI architecture. Practical guides from the team at Ginger Labs.
View all posts→vLLM vs Ollama vs TGI: LLM Serving Framework Comparison
A data-backed comparison of vLLM, Ollama, and TGI - covering throughput benchmarks, concurrency behavior, quantization support, and a 3-question decision framework to pick the right LLM serving framework fast.
When to Use Reasoning Models vs Standard LLMs
Reasoning models don't just generate text - they think before they answer. Here's what that actually means, how they're built, and when to use one over a standard LLM.
Signal-Driven Routing for Mixture-of-Models in Production
Signal-driven routing replaces static LLM classification with composable keyword, embedding, and domain signals - cutting costs 3.66x while preserving 95% of GPT-4 quality in production mixture-of-models deployments.
See the expert
do your work.
Bring your most valuable workflow. We'll run it live, right on the call. We put the expert to work in a sandbox of your product.