A model for each role
Plan on one model, build on another and review on an open-weight one. Each team sets its defaults, and people can override them per session.
Each team gets 24x7 agents, harnesses, and models that fit its work. You set SSO, permissions, data protection, and spend limits.
Run Claude, GPT, Gemini or open-weight models like Kimi, and pick a different one for each role. Vorflux trains no models of its own, so you always get the best one for the job.
Plan on one model, build on another and review on an open-weight one. Each team sets its defaults, and people can override them per session.
Use models through Vorflux, or bring your own keys, including for open-weight models, and your Claude or Codex plans. Admins choose which models the account allows.
Each team picks its own models, harnesses and skills. Access, models and spend follow the same rules everywhere.
SSO and SCIM provisioning through your identity provider, admin and member roles, and scoped API keys.
Choose which models and providers the account allows, and which each role uses by default.
Spend limits and cost caps for the account, and budget requests when a team needs more.
Every enterprise contract includes White Glove: forward-deployed engineers, workshops and AI certification for your team.
SSO, repositories, tools and security settings are configured before the first project starts.
They design and tune the harnesses with your engineers, so each team starts from a setup that works.
Hands-on workshops and AI certification bring every engineer up to speed, so use spreads past the early adopters.
AutoBots are 24x7 coworkers that live in Slack. Each one owns a recurring job and brings the decisions that need you.
On-call triage, PR review, dependency sweeps. Each cycle starts with the same goal, context and limits.
Every AutoBot works in its own channel, so the team sees what it did and answers it there.
It spends inside a cap you set and acts only inside the limits you agree.
Run Vorflux in your own AWS account, on request. Your code, sessions and artifacts stay there, and Vorflux reaches them only through a connector you own. Turn it off and access stops.
No inbound rules
Deploy in your own VPC, with your own logs. Your source code never leaves the network you already audit.
Every session runs on its own machine, and credentials are stored encrypted. Model providers retain none of your data.
SOC 2 Type I and ISO 27001 in place, SOC 2 Type II in progress. Reports are available under NDA during evaluation.
Sign in with SSO through your identity provider. SCIM keeps users in sync. Roles and scoped API keys set who can do what, and the audit log records every session, setting and action.
Start with one team, one or two repositories and a few real jobs.
Pick the jobs and agree what success looks like.
We walk your security team through the architecture and data flow.
Our engineers connect SSO and your repositories and build a harness for each role.
Your team runs real work. You get a readout against the bar you set.
Most agents help one engineer in one session. Vorflux runs whole tasks on cloud machines, tests the result and hands back a PR, and AutoBots keep recurring work going in Slack after people log off.
Models from Anthropic, OpenAI and Google, and open-weight models through your own keys. Use them through Vorflux, or connect your Claude or Codex plans. Admins choose which models the account allows.
No. Vorflux trains no models at all, and zero data retention is in place with the model providers.
Each session runs on its own isolated cloud machine. If you need it, Vorflux can run in your own AWS account, on request.
SOC 2 Type I and ISO 27001 are in place, and SOC 2 Type II is in progress. Reports are available under NDA during evaluation.
Sessions and AutoBots draw on credits, and each AutoBot has its own budget. Tokens from your own keys or plans bill to that provider. White Glove comes with every enterprise contract.
They set Vorflux up with your security settings, build a harness for each role with your engineers, run workshops and AI certification, and work the pilot with your team.
Fix a data issue that spanned six repositories and repair the records it broke.
Three tasks done over lunch: fixes in six repos plus a backfill migration, closing about 10 GitHub issues.
“Any issue, we can do in one or two hours. It pings us back on Slack with a video of the entire thing done.”
Start with one team and one repo. Our engineers scope the pilot with you.