Find the work AI can now make possible
We uncover uses your team may never have thought possible, then pick the first workflow with a number attached.
SPIRITT combines a secure AI workspace platform with hands-on deployment to move teams from isolated pilots to production workflows, connected to the data, systems, and decisions that run the business.
Software organizes work inside functions. SPIRITT can do the work across them.
The unit of transformation is no longer the tool. It is the end-to-end workflow.
We help teams see what AI can now make possible, then put the strongest idea into production.
We uncover uses your team may never have thought possible, then pick the first workflow with a number attached.
We put AI into the live workflow, connect the systems around it, and test it against the exceptions that actually happen.
We measure the result, transfer the operating model, and reuse the pattern on the next workflow.
From our experience, most companies have no idea what AI can actually do, or how an AI-native company can run. We're here to open that up.
Case studySelf-improving sales engineer
Case studyAutonomous product manager
Case study1:1 pitch decks at scale
Case studyImmersive web experiences
Case studySelf-improving sales engineer
Case studyAutonomous product manager
Case study1:1 pitch decks at scale
Case studyImmersive web experiencesWe do not ask you to buy a promise or trust a black box.
The core of the platform is available self-serve. Open a workspace, give it real work, and start a real transformation. Enterprise goes even further.
We can make that offer because we are proud of the product. The same autonomous agent system available in the platform has won international competitions.
Try SPIRITT yourselfThere are a million AI tools. SPIRITT makes sure every request uses the strongest and newest ones in real time, without you choosing, tracking benchmarks, or chasing what just shipped.
1,000+ integrations
Production code environments
Computer control
Model composition
Images, Videos, 3D
1,000+ integrations
Production code environments
Computer control
Model composition
Images, Videos, 3D
SOTA coding
Multi-agents
Voice agents
Custom integrations
Cloud environment
Browser control
SOTA coding
Multi-agents
Voice agents
Custom integrations
Cloud environment
Browser control
1,000+ integrations
SOTA coding
Production code environments
Multi-agents
Voice agents
Computer control
Custom integrations
Model composition
Cloud environment
Images, Videos, 3D
Browser control
1,000+ integrations
SOTA coding
Production code environments
Multi-agents
Voice agents
Computer control
Custom integrations
Model composition
Cloud environment
Images, Videos, 3D
Browser controlWe build the platform and operate our company through our own workspaces. SPIRITT is the operating system for an AI-native company, so what we learn across product, engineering, marketing, and operations becomes a product improvement our customers inherit.
Read our visionUseful enterprise AI understands the work, can act inside it, and stays governed.
Start with clarity about value, authority, architecture, and what happens after the first launch.
With one high-value workflow, a committed business owner, and a baseline you can measure. We look for work that crosses systems, absorbs meaningful operator time, and contains enough repetition to improve while keeping human judgment where it matters.
No. SPIRITT is designed to work across the applications, browser-based systems, files, APIs, and data your teams already use. The goal is to transform the workflow around those systems, not force another rip-and-replace program.
Authority is explicit. Organizations can scope access, allow or deny connected actions, require human approval, protect secrets, and retain an audit trail. Sensitive work can stop for an authorized person before anything changes outside the workspace.
No. Workspaces can use different models for different jobs while the organization controls the routes available and can use zero data retention routes where policy requires them.
We measure the outcome, improve the workspace, transfer the operating knowledge, and identify the next adjacent workflow. Context, controls, integrations, and deployment patterns compound instead of being rebuilt from zero.
Show us one workflow. We will map the outcome, the context, and the control model.