The Swa platform
Every model your team needs.
One place to govern them.
Swa pairs each ask with the right tool, agent, and model, then runs it under the access rules, compliance modules, and spend controls the business sets. Your people get the strongest AI available, where they already work. You get one dashboard over all of it.
Your data is never used to train the models.
Where to start
Here is where you start, and where it goes from there.
Take the platform in this order. Each step has a matching service that gets it done faster, delivered by Swa or a Swa partner.
Get one team using it
Set up the admin panel, bring a first team on, and put Swa where they already work: Slack, Microsoft Teams, the browser, and their phone. Swa picks the model for every ask, so nobody has to.
The experience ↓Set the rules
Switch on the compliance modules each workspace is held to, turn on recording where a regulator expects a trail, and let Shield read your cloud every morning.
The governance ↓Prove it is used
Quest takes each person from their first hour to real fluency, and the dashboard shows team by team who has picked it up and who has not.
The adoption ↓When you are ready: an Agent Build for the job nobody wants to do on Mondays, and a Model and Cost Review once there is real usage to tune.
The experience
The right AI, the right cost, wherever they work.
Swa pairs every ask with the right tool, agent, and model, then right-sizes the compute behind it. Premium power when it matters, a lower-cost model when it does not. Your people never see a model picker.
Smart by default
Each ask is routed to the right tool, agent, and model. Most tasks do not need a premium model, so Swa routes them cheaper, and you keep the premium power for the work that earns it.
Solo, your AI workspace
A clean place to work with AI: chat, projects, documents, and your own agents, with context that carries across chats and files. Build a helper in plain English and share it with your team.
Where your team already works
Swa shows up inside Slack and Microsoft Teams, on the web in Solo, and on iPhone and Android. One identity across every channel, the same agents everywhere, answers right in the thread.
Work that runs itself
Describe a recurring task in a single sentence and Swa runs it on schedule, using everything it is connected to, with a record behind every action. Helpers that do the work, not just chat about it.
Create anything, on one balance
Documents, images, voice, and video, all from the same conversation. Say what you need in plain language, Swa picks the tool and the model, and you get the file back ready to send. No separate subscriptions, no separate logins.
Answers from your own files
Drop in a contract, a policy, or a spreadsheet and ask about it in plain English. Spreadsheets get exact answers, because Swa queries the numbers instead of skimming them, and it says so when the answer is not in there.
Governance
Different rules for every part of the business.
Compliance on Swa is configured, not assumed. You switch on the modules for the regulations a given workspace is actually held to, and from then on every request is checked before it leaves.
Security and compliance
Guardrails, and the paper trail to prove them.
Requests are inspected for PII, PHI, and PCI before they leave. Only eligible models see regulated data; the rest are held back. Where a regulator expects a full trail, you switch recording on for that workspace.
Compliance modules
Twelve composable regulation modules, switched on per workspace. Sensitive data is caught at the input, routed only to eligible models, and written to one audit trail mapped to your regulators' controls.
Shield, a security analyst that never sleeps
Shield reads your AWS the way a seasoned analyst would rather than running checkbox rules, scores each finding by severity with a clear deadline, and reports to Slack or Teams every morning. Read-only by policy.
When they go, the data goes
Offboarding is where AI tools quietly leak. Close an account and sign-in is blocked, live sessions are revoked, and a scheduled sweep clears the stored files and search index entries. Not just a password reset.
Governed AI in the editor
A Swa MCP server your engineers connect to from Cursor, Copilot, Claude Code, or any MCP client, pulling company knowledge and Swa agents into the editor they already use. One model policy, every request logged.
Adoption
Bought is the easy half. Used is the point.
Swa guides every person from their first hour to real fluency, and measures depth of use rather than busywork. The dashboard shows who has picked it up and who has not, team by team.
Quest
Nine quests get a new user productive in their first hour, and the path keeps going from there. Adoption becomes something people opt into rather than something IT has to chase.
Achievements
Bronze through Platinum tiers as skills deepen, a daily ring and streaks to keep momentum, and a Swa Certificate as a credential for verified AI fluency.
Training, on the record
Eighteen structured courses from AI basics to safe, policy-aligned use. Each completion is signed and time-stamped, with seven-year retention for the auditors who ask.
Adoption you can see, not guess at
Usage and depth of use per team, on the same screen as access and spend. You can answer what your people are using and how far they have got with it, without running a survey.
Administration
Run everything from one panel.
Users, agents, models, spend, integrations, and adoption. Every control your admins need, in one place, with live dashboards rather than an export you have to reconcile.
One control panel
Add people, scope roles, publish agents, and choose which models a team may reach. Live dashboards for usage and adoption sit next to the controls that change them.
One meter, one place to control spend
Every product, channel, and model runs on one balance. Finance sets per-team budgets and caps, and every request is recorded and traceable to the person, agent, or automation that ran it.
Get started
See it running on your own workspace.
Bring one team on, switch on the rules that team is held to, and watch what it costs. That is a short conversation, not a project.