Agents that work from what your company already knows: its documents, its numbers and its tools.
Documents, customers and projects are indexed by meaning, and every answer links back to where it came from.
Sales, stock or support: ask in plain words and the agent pulls the figures and explains them.
Emails, tickets and updates are prepared by the agent and approved by a person before anything is sent.
The agent inherits the permissions of whoever asks, with verified identity and role-based access.
A frontier API or an open model on your own servers, chosen by how sensitive the data is, the quality you need and the cost.
Email, drive, CRM or ERP: the agent works inside the tools your team already uses.
The same building blocks the leading AI companies run in production, chosen for your business and scaled to it.
Identify
Accounts and single sign-on, connected to the directory you already run.
Build
A visual workspace where your team builds agents and workflows on its own.
Run
Agents in code, with durable execution, channels and human approval.
Orchestrate
Each agent's steps, retries and hand-offs to other agents.
Authorize
Who can see what, document by document.
Enforce rules
Your company's rules, applied to every action.
Route
One gateway to every model, on your own servers or behind a provider's API.
Remember
Company memory, with documents linked by meaning.
Act
The agent uses your team's email, drive and CRM.
Reason
A frontier API or an open model on your servers, depending on how sensitive the data is.
A project that leaves you freer than when you started. The hosting, the code and the know-how to evolve them stay in your hands.
We map your workflows and pick the highest-value AI use cases before we build.
Custom-built on proven open source technology, with regular progress reviews.
Shipped to production with monitoring, security and full documentation.
Your people learn to run, extend and trust the AI.
Recommending a technology means helping it move forward. The studio publishes its own tools and contributes to the open source projects its clients’ products rely on.
automation · operations · finance
Ops and finance teams learn to automate their own workflows, with our engineers on call.
git clone https://github.com/nualt/agent-memory-starteragents · approvals · testing · rollout
Executive workshop on where AI fits, what it costs and what it changes.
npx skills add nualt/memsiftThe studio writes up its projects, from technical decisions to the limits it hit in production, so you can start yours a step ahead.
To add AI agents to your company, start with one narrow, repeated task, give the agent only the tools and permissions it needs, require human approval for consequential actions, test it on real examples before launch, then roll it out to a small group, measure results and widen gradually.
AI agents
AI helps insurance brokers and financial advisers by taking over client admin: onboarding, document gathering, policy comparison summaries, renewal tracking, meeting notes and follow-ups. Advisers keep every recommendation. The best start is one slow, repetitive workflow, built around how your firm really works.
AI agents
AI helps clinics and private practices most with administration: scheduling, reminders, drafting letters and notes, and answering billing queries. It supports staff and gives no medical advice. Patient privacy comes first, and a person checks every output before it reaches a patient or a record.