We engineer the harness and memory layer around frontier models, turning raw intelligence into agents you can depend on. Software that doesn’t just answer; it acts, with a human on the decisions that count.
We believe technology should give people back their most finite resource: their attention.
Not by replacing the work that matters, but by carrying everything around it, so a person who runs a business one relationship at a time is free to do the part only they can do.
Our flagship product, Zora, does this for independent event businesses: it reads the inbox, drafts replies, holds the calendar, and sends invoices on its own, with a human on every decision that counts. Beneath it: a dependable harness and a memory that compounds.
A frontier model is the smallest part of a working agent. The reliability lives in the harness around it, the memory beneath it, and the evals that prove it. That's what we engineer.
The runtime around the model: orchestration, control loops, tool use, with a guardrail on every step. What turns a clever demo into an agent that holds up in production.
A memory layer with retrieval (RAG) so the agent remembers across sessions and grounds every answer in your real data, not the model’s guesses.
We measure reliability with evals, then sharpen behavior with fine-tuning. What gets measured is what you can trust.
The whole workflow, inbox to invoice, shipped as a production app that plans, acts, and verifies, with a human in control.
"Harness" isn't a metaphor. It's the runtime around a frontier model. The model is a small, stateless core; the harness gives it grounding, an act-and-verify loop, and a human on the send. Hover any block to see what each part does.
The system prompt, retrieval, and memory curated into a finite context window.
Permissioned actions over the Model Context Protocol: the agent’s hands.
Plans the work, runs the loop, fans out to sub-agents.
Rules, visual, or LLM-as-judge checks against a source of truth.
Hard limits and prompt-injection defense: the ‘never’ rules.
A person approves every consequential, irreversible action.
Every model call, tool call, and retrieval traced as one run.
Least-privilege execution plus token budgets and prompt caching.
Any model can ace a demo. Only a harness survives production, so that's the part we build.
Zora is a production system of action for event professionals: one tool replacing five, running the client workflow end to end.
An agent harness over a memory layer: it reads the inbox, drafts quoted replies in the planner's voice (checked against their real pricing), manages the calendar, sends invoices, and gives each client a branded portal. One system where there used to be five.
We take a small number of client projects, and you work directly with the people who build. The same harness, memory and evals that run Zora in production go to work on your workflow.
We map the workflow, where it breaks, and what an agent should own. You work directly with the engineers who build it, not an account layer.
Not a deck. A running agent on your actual mail, documents or pipeline, in weeks, with evals that show where it holds and where it does not.
Guardrails, observability, cost control and human approval on every consequential action, the way Zora runs today.