Computer, upgraded: the map your AI needs

The short version

Every organization invested in AI. Most are still waiting for results. The problem isn’t the models – it’s that AI has never been given a proper understanding of how businesses actually work.

Today, Computer ships its biggest upgrade: a desktop app with full agentic creation capabilities, prebuilt and custom skills anyone can teach and share, multiplayer AI you can take into any conversation, and Agent Studio to build custom agents for every use case in your company.

The industry is selling speed. That’s a problem.

Every AI company right now is selling the same thing: speed. Work faster, they’re all yelling. Produce more. Use more tokens.

The result? Organizations are running world-class models on ineffective infrastructure. 96% of C-suite leaders expect AI to boost productivity. But 77% of employees say AI has actually increased their workload.

This is what many are calling “token maxxing” – applying more (and more) compute to inadequate context. It produces more noise, faster. It’s wasteful. And expensive.

Speed without the right context is just faster noise. Noise that overloads humans in the loop – and eventually, inevitably, breaks them.

Computer is built on a different philosophy: work softer.

Give AI the enterprise memory it needs to perform reliably, then let it take action. Only then will your people feel confident that AI is doing the tasks they need it to – more accurately, and with less handholding. Only then will AI actually drive speed, and scale, in a way that moves your entire organization.

The context deficit

The models are not the problem. ChatGPT, Claude, Gemini – they’re capable of sophisticated reasoning, nuanced analysis, and real decision support. What they lack isn’t ability. It’s understanding.

They don’t know which customers are at risk this quarter, or why your most opinionated power-user is more demanding than ever. They don’t know if your deal is dangerously blocked, or if that’s just the rep that loves to sandbag. They don’t know what was decided in the escalation call three weeks ago. More than anything, they just don’t know – can’t know – how your team really works together.

That knowledge lives in your organization – scattered across systems that don’t talk to each other, along with the natural interactions we have every day.

Until AI has that full context, it’s guessing. Fast, confident guessing – but guessing.

Most enterprise AI tools respond to this by doing retrieval: grab snapshots of your documents, return what seems relevant when you ask. Ask “Which enterprise accounts in APAC with open critical bugs renew this quarter?” and a retrieval system returns links to documents that might contain pieces of the answer. A human still has to assemble it. The AI found something. It didn’t know anything.

The limitation is architectural. Retrieval answers “What does this document say?” But organizations are crying out for something different: “What’s happening in my business right now – and what should I do about it?”

Shared Memory: the missing answer

Computer’s native Shared Memory is a persistent, living, pre-indexed, permission-aware understanding of your organization. Not a snapshot. Not a cache. A curated, compounding digital twin of your data. How your organization works, and how its people interact, organized and made AI-ready.

This unique architectural foundation enables three things:

• Precision. Sourced from real business data, cited and referenced so teams can stand behind them, Computer’s precise answers are unmatched. Same question, same answer, every time. Computer doesn’t guess – it knows, and shows its work.
• Efficiency. Those trusted answers come at lower cost: fewer tokens used, no analyst required, full context on first response. Rather than forcing AI models to search broadly, Computer’s Shared Memory delivers precisely curated context, better results, and better value. Because stronger architecture beats a feature checkbox, every time.
• Safety. Every skill and agent is tested in a sandbox before it touches real work – proven across bulk evaluations, scored, and versioned. Once agents and skills are live, any sensitive actions require human approval before execution. Every step has a full audit trail, and any action can be rolled back.

When AI has this context, it stops guessing and starts acting like a trusted member of the team. Reliable performance builds trust. Trust unlocks action. That progression – from trusted answers to safe actions – is how collaboration between humans and AI actually works, and scales.

What ships today

1. My Computer – a desktop app, built for agentic workComputer is yours. It learns how you work, picks up where you left off, and every session builds on the last. It remembers your preferences, your context, your history.

We built it as a desktop app for a reason. It leverages the power of your local files to 100x its capabilities – bringing fully agentic, autonomous creation to your workflow with the right level of safety. Local file access means Computer can read, reference, and build on what’s already on your machine. Combined with shared memory, it has the full picture: your organization’s knowledge and your working files. That’s what makes truly autonomous creation possible – all within guardrails.

And that’s what means it can create complete, on-branded work artifacts in PPT, HTML, PDF, DOCX, and more. All generated from your live, verified business data, not hallucinated summaries.

And My Computer goes with you. Into your DMs. Into group chats with colleagues. Into any conversation where you need it. It’s not a separate tab you switch to – it’s a teammate that shows up wherever you’re already working. And when you bring it into a group conversation, it becomes multiplayer – everyone in that thread sees the full context, can build on each other’s questions, and continue the analysis together.

57% of employees admit to using AI in non-transparent ways, hiding when they’ve used AI to complete work. Teams rarely benefit from one another’s AI work. Multiplayer changes the dynamic from “what I did with AI” to “what we created with AI, together.”

2. Prebuilt and custom skills

Computer doesn’t just answer questions – it learns how to do things. Teach it how you do something once, save it as a skill, and it can repeat that workflow forever. Your expertise becomes a reusable capability.

But you don’t have to build everything yourself. Find an open-source skill, point Computer to it, and you’re immediately leveraging the work of an entire community of skill builders. Skills can be saved at the individual, team, or org level – one person’s expertise becomes everyone’s capability.

This is how Computer scales: not by adding more seats, but by compounding what your people already know how to do.

3. Agent Studio

Agent Studio gives any team the ability to build custom agents for every use case in your company. Build them, test them in a sandbox, and deploy them across connected systems. Every action runs under individual user permissions – not a shared bot account. Every step is traceable, auditable, and reversible. If an agent makes a mistake, it can be rolled back – easily, and safely.

Before Computer touches real work, every capability is tested outside the live environment. Teams see exactly what it will do before it does it. No code required.

Built for every team. Loved by sales teams.

Computer works across every function – support, product, engineering, and customer success. But we’ve invested deeply in making it transformative for sales teams.

Unrivalled Salesforce integration means Computer understands your pipeline, your accounts, your deal history, and your forecast in a way no other AI tool does. Out of the box, skills like meeting prep, deal review, and pipeline analysis are ready to go. Computer can auto-update Salesforce activities and next steps after every call – no more end-of-day CRM hygiene (that often never happens).

Every rep, AE, frontline manager and leader gets precise, cited answers, computed directly from live CRM data. Which means anyone on the team can:

• Ask for an account deep-dive, and Computer creates it – in minutes, not days.
• Prep for a call with full account context pulled together in seconds.
• Ask analytical questions about your pipeline in plain language – no data analyst required.
• Understand what changed with an account since your last QBR – and ask Computer to create next quarter’s deck.

Sales teams operate in some of the most fragmented, data-rich environments in any company. That’s exactly where shared memory and precise answers have the most pronounced impact.

Early results are in

Real outcomes, from real organizations, who’ve been lucky enough to help us test Computer in recent times:

• Bolt reduced customer support tickets requiring human intervention by 85%. “Computer has revolutionized our operations by allowing us to deflect routine tickets, eliminate duplicate efforts, and offer our customers easy, instant access to information and action.” – Chelsey Fewer, Bolt.
• Employees at FAME save 10+ hours per week – and resolve tickets up to 75% faster. “Computer has made my work more efficient and improved the flow of my day.” – Courtney Baldwin, Financial Aid Specialist, FAME.
• Across customers, the pattern is consistent: 8-25% increases in employee productivity and 12 hours saved per employee, per month.

Try it yourself – for free

If your organization has invested in AI and is still waiting for results, the problem isn’t the model. It’s the context.

Computer is now upgraded – and available free for 30 days. See what enterprise AI looks like when it actually knows your business. Trust us, you’ll never look back.