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All AI for One, One AI for All

Buying AI is easy.
Getting your team
to use it is not.

Swa runs it inside the tools they already open, picks the right model for each job, teaches them as they go, and shows you who is actually using it.

Swa picks the model.teaches your team. connects your tools.tracks every dollar. keeps working when a model gets pulled.

No credit card required · Unlimited users on business plans

Partner programs and marketplace approvals
NVIDIA Inception Program member
Microsoft Partner App reviewed and approved in the Microsoft marketplace
Slack Marketplace App reviewed and approved by Slack

95% of enterprise AI
shows no measurable return.

MIT’s NANDA initiative studied 300 enterprise AI deployments. Ninety-five percent had produced no measurable impact on the P&L. Not a small impact. None. The models were rarely the problem. Nobody was running them, and nobody was using them.

MIT NANDA, The GenAI Divide
01 · Orchestration

Every channel.
Every model.
One you control.

Swa sits between your people and every model you allow. It picks the right one for the job, and an admin decides what each team can reach.

  • Company, workspace and user level model control
  • Deprecations absorbed in the router, so a pulled model never breaks a workflow
  • 23+ models behind one interface
Summarise this thread and draft the reply
swa
ChatGPT ClaudeGeminiPerplexity Grok
Admin decides what each team can reach · company, workspace, user
02 · Everywhere they work

Ask where you work.
Swa does the rest.

No new app to adopt. Swa answers in the tools your team already has open, and it can act, not just reply.

  • Web, Slack, Microsoft Teams, WhatsApp and SMS
  • Also on iPhone and iPad
  • 150+ connected apps through one handshake
Web
Slack
Teams
SMS
MK
@swa pull Dave’s Jira tickets and email him the top 3
S
Pulled 12 tickets. Top 3 sent to dave@company.com.

Ask in plain language. Swa turns a spreadsheet into a chart without leaving the channel.

03 · Agents
SHIPPED

Build your digital
workforce in plain English.

Describe the job in a sentence. Swa builds an agent that runs on a schedule, uses your tools, and posts where the team already is.

  • 15 production agents: research, files, images, video, Jira, calendar
  • Scheduled work that runs without anyone watching
  • Documents generated in your own branded templates
"Every Monday, summarise support tickets"
A
Weekly Support Digest
Runs Mondays at 8:00
Scheduled ZendeskPosts to #support
04 · Cost control
SHIPPED

The right AI,
the right cost.

Most work does not need the most expensive model. Swa routes by what the task actually needs, and you see every dollar by model, workspace and person.

  • Right-sizing on by default
  • Usage visible per model and per workspace
  • Usage-based, with no per-seat fees
Everything on the biggest model$$$$
Right-sized by Swa$
51%compute cost avoided in our own 26-person, 90-day trial
05 · Governance

The trust layer
underneath.

Every request passes your policy before it reaches a model, and the whole chain is written down.

  • SSO, role-based access, admin model controls
  • Your data is never used to train the models
  • Full chain captured: person, agent, tool, model, response
Policy
→
Guardrails
→
Logged
user → agent → tool → model model access: allowed (workspace)event written to ledger
06 · Adoption
SHIPPED

Adoption
you can prove.

This is the part most AI programmes skip, and it is why most of them fail. Swa teaches your team inside the product and shows you the numbers.

  • In-product training that meets people where they are
  • Quests and achievements that build the habit
  • Admin reporting on real usage, not licences bought
78%
Quests, achievements and an in-product trainer, with admin reporting on who is actually using it

Swa across the surfaces your team already uses.

07 · One platform
SHIPPED

One meter.
One bill.

Every model, tool and agent on a single meter, with one invoice at the end of the month instead of a stack of subscriptions.

  • One bill across every model and surface
  • Unlimited users on business plans
  • Plans from $19 to $9,999 a month
ChatGPT4.2M tokens
Claude3.1M tokens
Gemini0.9M tokens
Tools & agents1,240 runs
One bill$99/mo
08 · The obvious question

“We already have Copilot.
Why would we add Swa?”

Swa governs across them, it does not replace them

Copilot, ChatGPT Enterprise and Gemini are single-vendor. Swa sits above whatever you already run, so one policy, one audit trail and one bill cover all of it. Keep Copilot. Put rules around it.

One vendor means one failure mode

When a model is pulled, rate-limited, region-locked or simply refuses, a single-vendor stack stops. Swa absorbs that in the router, so the work carries on with a model that will do it.

No per-seat maths

Per-seat pricing punishes you for rolling out widely, which is exactly what adoption requires. Swa is usage-based with unlimited users on business plans.

It meets people where they already are

Adoption fails when it needs a new habit. Swa answers in Slack, Teams, the browser, WhatsApp and SMS, and teaches as it goes.

09 · Where we stand

What Swa is not. We are not a security product, and we are not a model lab. We do not train models and we do not claim certifications we have not finished. SOC 2 and ISO 27001 are in progress, not done. What we do is put every model, tool and agent behind one set of rules you control, and prove your team is using it.

What customers are saying

“Swa Solo has completely removed the friction of switching between different AI platforms … having a single window to access all the top AI models is a game-changer.”

“Swa Solo has completely removed the friction of switching between different AI platforms. Whether I’m diving into complex research, running policy reviews, or drafting voiceover scripts and training content, having a single window to access all the top AI models is a game-changer. I get the absolute best quality output for the task at hand without juggling multiple logins or subscriptions. On top of a terrific product, their support team is incredibly responsive and genuinely invested in your success. It’s saved me hours of going back and forth between AI platforms every single week.”

Matt Holmes, CISSO, Governance & Compliance Mgr  ·  State of Alabama

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