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Vendor ProfileEarly StageYC W26 AI Overlay / Agentic
Chasi AI logo

Chasi AI

AI Revenue Engine for Equipment Dealers

San Francisco, CA Source Founded 2025 Source 10-person team Source Live in US and Europe Source

Chasi is a YC W26 company (Winter 2026) founded by Akash Pavan and Sarman Aulakh — engineers who previously led AI deployments at Tesla, Boeing, Cummins, and other industrial manufacturers. Chasi deploys AI agents that plug into a dealer's existing tech stack to handle inbound sales, follow-ups, rental utilization, and service coordination around the clock — without replacing the DMS. The thesis: 1/3 of the cost of the physical world goes to equipment, yet fleet utilization sits below 60%. Chasi captures that gap with autonomous agents.

What Chasi Is — and Isn't

What it is

  • An AI agent layer that plugs into existing DMS/CRM stacks
  • A 24/7 automation layer for sales, rental, and service workflows
  • Purpose-built for the $1T+ equipment distribution industry
  • An overlay — works alongside VitalEdge, Flyntlok, etc.
  • YC-backed with founders from Tesla, Boeing, and Cummins

What it isn't

  • — Not a full DMS — does not replace e-Emphasys, IntelliDealer, or Flyntlok
  • — Not a parts/service/financial ERP system
  • — Does not carry deep OEM integrations (yet)
  • — Early in broader enterprise-scale rollout, but already deployed with large multi-branch dealers
  • — Early stage — 10-person team as of YC W26

The Agent Suite

chasi.ai

Chasi deploys multiple specialized agents that work in parallel within a dealer's existing workflow stack.

Inbound Response Agent

Answers inbound calls, emails, and web inquiries 24/7. Qualifies leads, captures requirements, and routes to the right rep — without a human touching it first.

Source

Follow-Up Agent

Eliminates the manual follow-up grind. Automatically tracks open quotes, sends follow-up sequences, and re-engages lapsed prospects — freeing reps to close, not chase.

Source

Fleet Utilization Agent

Proactively surfaces underutilized rental assets and matches them against available demand — helping dealers maximize ROI on existing fleet without adding headcount.

Source

Service Coordination Agent

Handles service requests, schedules jobs, and keeps customers informed end-to-end. Reduces no-shows and eliminates the back-and-forth between service writers and customers.

Source

DIG Assessment

DIG Analysis

Capability Radar (0–10)

DIG editorial scoring. High AI nativeness, low OEM depth and enterprise scale — by design at this stage.

AI NativenessSales AutomationRental WorkflowService OpsOEM IntegrationsEnterprise ScaleDMS ReplacementImplementation

The Chasi Thesis

DIG Analysis

The bet: The equipment industry doesn't need its DMS replaced — it needs an intelligence layer on top. Chasi's agentic overlay architecture means dealers get AI without a rip-and-replace migration. This lowers the sales barrier significantly. Source

Founder edge: Akash Pavan and Sarman Aulakh have direct operational credibility — they've built tractors, race cars, and led AI deployments at Tesla, Boeing, and Cummins. That's rare for an early-stage SaaS founder team and gives them access in a trust-based, relationship-driven industry. Source

The risk: The overlay architecture means Chasi's value depends on the underlying DMS being good enough. If a dealer is on a legacy system with poor APIs, agent deployment becomes harder. OEM integration depth — the real moat in DMS — remains unbuilt.

Watch: Revenue traction and customer count growth through 2026. The YC batch gives network access, but the equipment industry moves on relationships, not accelerator pedigree alone.

Founders

YC profile
AP

Akash Pavan

Co-founder & CEO

Ex-founding team/GM at Axion (pre-seed to Series B, backed by Bessemer and Salesforce). Led AI deployments at Cummins, Harley-Davidson, Denso, and F500 industrials. Previously built race cars, robots, and tractors.

SA

Sarman Aulakh

Co-founder & CTO

CS graduate from University of Waterloo. 2x founding engineer. Previously built internal supply chain orchestration software at Tesla, a rewards management platform, and a VR startup.

DIG Intelligence Brief

DIG Analysis

Editorial opinion. Factual claims linked to primary sources.

Why It Matters

Chasi represents the agentic overlay archetype that incumbents are most afraid of — not a DMS replacement, but an AI that makes every dealer rep dramatically more productive without touching the existing system of record. If dealer reps genuinely recover 2+ hours per day, the ROI case sells itself. Source

The Defensibility Question

The core risk for any AI overlay is commoditization. As DMS vendors like VitalEdge ship VitalityAI and DIS ships Dex, the AI layer that Chasi occupies will be contested by vendors with native data access. Chasi's answer will need to be vertical depth and switching costs built through workflow integration.

The YC Advantage

YC W26 status signals quality bar, opens enterprise doors, and gives access to the YC network for fundraising. However, the equipment dealer community is conservative and trust-based. Customer success stories from live deployments will matter more than accelerator pedigree. Source

DIG Watch Signal

Early stage. Not comparable in scale to VitalEdge or Aptean. Relevant as the leading example of the agentic-overlay model in heavy equipment. Monitor for: customer count growth, Series A announcement, and whether incumbent DMS vendors accelerate their own AI roadmaps in response.

Explore Further

Compare Chasi against DMS incumbents and challengers

See the full DMS competitive landscape including VitalEdge, Aptean, and Flyntlok.

Related Articles

DIG coverage featuring Chasi AI.