Red Gambit

We build AI agents for your team, secured from day one.

Agents that handle real work inside your business. Your team asks one a question, or hands over a job and gets on with the day. Which model runs them depends on how sensitive the data is, and we make that call with you.

Talk about automation
A página My desk de uma colaboradora, em modo escuro: dois assistentes a quem pode entregar trabalho, Miguel e Sofia, e por baixo os seus dois trabalhos, um em curso e outro para revisão.
What a team member sees. The assistants they can hand work to, and their own work.

The right model for the data.

Frontier AI

Hosted models over an API. The strongest reasoning and the quickest to set up. The provider processes your data, so this suits work that isn’t sensitive.

Complex reasoning, fastest to deploy

Local models

Running on your own machines. Nothing leaves your network, and there’s no usage bill, so cost is fixed.

Sensitive data, strict compliance

Hybrid

Sensitive work stays local, the rest can go to a hosted model. The choice is made per task, and an agent that handles restricted material only ever runs locally.

Mixed data, most projects
Uma conversa com o assistente Miguel, a correr no modelo local. À pergunta sobre o prazo de confidencialidade habitual num NDA, a resposta indica 3 anos e cita o documento e a secção de onde veio.
A question answered by the local model, with the document the answer came from.

Every build ships with the same four controls.

Guardrails

Limits on what the agent can reach and what it can never do.

Access control

Each agent gets the smallest set of permissions that still works.

Audit logging

Every action recorded, including the ones that were blocked.

Human review

Anything that sends or writes waits for a person to approve it.

Diálogo de uma ação retida: a assistente Clara quer enviar um email. Mostra o destinatário, o assunto e o texto completo, com os botões Not now, Decline e Approve and do it.
An email held for approval. The whole message is on screen before anyone says yes.
Diálogo de um trabalho para revisão: o pedido, o ficheiro anexado, a resposta da assistente Sofia com três diferenças encontradas num NDA e, por baixo, a linha Used com as ferramentas que usou.
A job back for review. Under the answer, the tools the assistant actually used.

From one workflow to an agent you can trust.

  1. 01

    Pick the workflow

    One task that costs your team time. We map what it touches and how sensitive that is.

  2. 02

    Build

    On the model that fits the data, with only the access the task needs.

  3. 03

    Attack

    We test it the way we’d test any client’s agent, before it goes live.

  4. 04

    Run

    It runs on our agent management platform, with approvals and a full audit log.

Tell us what eats your team’s time.

A short paragraph is enough. We’ll reply with a call and a written proposal.

support@redgambit.ai