Peazy Labs
AI-powered enterprise software training platform
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| CRM | Salesforce, HubSpot |
| ERP | SAP, NetSuite, Workday |
| Support / Finance | Zendesk, QuickBooks |
Peazy Labs is a San Francisco-based enterprise AI startup building an agentic training layer that makes complex software adoption "eazy peazy." Founded in January 2026 by Kushal Murthy, the company's core premise is that employees don't fail at new software because they lack ability — they fail because the system around them is confusing, untimely, or designed without empathy 3. Peazy turns that gap into a product: an AI concierge that delivers contextual, instructor-led workshops directly inside enterprise tools like Salesforce, SAP, and Workday.
Enterprise software adoption has a well-documented failure mode. Organizations spend millions acquiring tools — ERPs, CRMs, support platforms — only to find that employees continue working in spreadsheets and workarounds. The standard remedies — training decks, knowledge-base articles, PDF guides, recorded video walkthroughs — have shown diminishing returns. They are passive, static, and divorced from the moment of actual use 1.
Peazy's diagnosis goes a step further than most. The company's homepage opens with the line: "Employees don't hate new software. They hate feeling lost." This frames the problem not as resistance to technology but as a failure of the learning experience itself — a failure that scales every time a company rolls out a new platform or undergoes a software migration 1.
Peazy AI delivers what the company calls "instructor-led training available 24/7." The platform takes the existing materials organizations already have — standard operating procedures, slide decks, onboarding guides, process videos, Google Docs — and converts them into interactive learning blocks. These blocks become the raw material for live, agentic training workshops that run inside the target software itself 1.
The flagship product mode is Peazy's Training Room, where an autonomous AI instructor takes the stage, demonstrates workflows step-by-step, and validates trainee actions in real-time. Rather than watching a video and then attempting to replicate it in the live system (a gap where most adoption fails), trainees follow live prompts — "Click here. Now drag this. Build your workflow." — while the AI monitors their progress and adjusts guidance accordingly. A session timer, transcript, and real-time controls keep the experience structured 1.
Trainers and customer success teams build workshops using Peazy's block-based Studio, which functions somewhat like PowerPoint but for interactive training flows. The Studio accepts PDF, PPTX, video, and web content as source material, and an AI import system converts them into structured ILT (instructor-led training) blocks. Workshops can be created, collaborated on, and published without engineering involvement 1.
Beyond the Training Room, Peazy offers contextual in-browser guidance that surfaces coaching inside any web-based application as users work. Native integrations extend this into the software itself, enabling policy-aware guardrails — for example, enforcing required field naming conventions in a CRM — in real-time rather than in a pre-recorded tutorial that users may never consult 1.
A core feature addresses one of the sharpest tensions in enterprise software education: the gap between a safe training environment and the live production system where mistakes carry real consequences. Peazy's sandbox-to-production mode lets users practice workflows without risk, then execute confidently in production, with the AI instructor bridging the psychological barrier between learning and doing 1.
Peazy positions itself as platform-agnostic across the enterprise software ecosystem. The company's current integration list includes Salesforce, SAP, Workday, HubSpot, NetSuite, Zendesk, and QuickBooks — covering the major categories of CRM, ERP, HR systems, and financial tools 1. The company's DNA has particular depth in Salesforce, where Kushal's previous stealth venture (October–December 2025) focused on automating Salesforce implementations end-to-end 4.
The idea for Peazy Labs crystalized at Dreamforce, Salesforce's annual conference. Kushal had been exploring several AI directions — including finance AI and women's health AI — before arriving back at the problem domain he knew most intimately: learning. When he pitched the concept of an AI agent that watches a user's screen and conducts a live training workshop within the software, multiple Salesforce consultancies gave the same response: "We'd pay for this now." 3
That response satisfied Kushal's three-filter test for committing to a startup idea: user desirability (people actively wanted it), technical feasibility (the underlying AI infrastructure to support screen-aware, agentic behavior had matured), and business viability (enterprise software consulting firms had both the budget and the pain) 3.
Before landing on Peazy's current form, Kushal had briefly operated a stealth startup from October through December 2025 targeting the same Salesforce partner ecosystem, focused on automating end-to-end Salesforce implementation — requirements gathering, configuration, testing, and deployment. That pivot from implementation automation to training adoption reflected a sharper read of where the sustained value in the enterprise software lifecycle actually lived 4.
Peazy's website surfaces early pilot metrics that reflect the gap between passive training and interactive instruction: 82% workflow adoption, 78% time-to-proficiency at an average of twelve days, and 91% in-app completion rate among pilot participants 1. The company's pilot framework structures the journey from discovery workshop through deck conversion, production piloting, and refinement over five phases before a full rollout adds in-app guidance, executive reporting, and ongoing optimization loops.
Early testimonials come from users at ZS Associates, EY, and Nirvana Insurance, all of whom described the experience in terms of removing ambiguity — "exactly where and how to update things," "ambiguity in any task is removed in one simple motion" 1.
Peazy's go-to-market design reflects Kushal's hard-won experience with enterprise B2B after years in B2C education: customer success in software is not a one-time onboarding event but an ongoing relationship between user capability and software capability. The company's explicit pitch to enterprise buyers is to schedule "a Pilot Consultation call with Founders," keeping the sales motion consultative and relationship-driven rather than self-serve 1.
The company entered 2026 as a pre-seed company with design partners in place and an MVP in active development, operating out of the San Francisco Bay Area 2.