Last updated: 2026-08-19
Perceptron ML is an invite-only automation platform from Perceptron Labs that monitors 4 vertical data sources, SEC filings, government RFPs, property listings, and data breach disclosures, deduplicates matching events, and drafts a response with its Percy AI agent. A human must approve every draft before it sends. Pricing is undisclosed; access is gated behind an intro call.
About Perceptron ML
Perceptron ML is an event-driven automation platform built by Perceptron Labs, a small early-stage team led by founder Tanmai Kalisipudi. The product solves a narrow but expensive problem: teams that need to act the moment a public signal appears, such as a government contract posting, an SEC filing, a data breach disclosure, or a new property listing, but who currently rely on manually refreshing fragmented government and industry databases. Perceptron ML watches those sources continuously and surfaces matching events in a single feed instead of a dozen open browser tabs. At the center of the product is an internal AI agent called Percy. Percy ingests signals from multiple fragmented public sources, deduplicates overlapping listings of the same underlying event into one canonical record in a real-time event ledger, then drafts the next action, whether that is a case summary, an RFP eligibility check, or an outreach message. A human reviews and approves every draft before it goes out, so the platform functions as an acceleration layer rather than a fully autonomous dispatcher. The product is aimed at four verticals where speed after a public event translates directly into revenue or risk reduction: law firms chasing new matters the moment a data breach becomes public, government contractors and construction firms bidding on RFPs as soon as they post, real estate investors making offers the moment a listing drops, and trading desks reacting to regulatory filings. Each vertical maps to a different signal source but the same underlying detect-draft-approve loop. Perceptron ML is currently in early access with a closed onboarding group of contractors, legal teams, and builders, and access is gated behind a short introductory call rather than self-serve signup. No public pricing tiers, free trial, or published compliance certifications (SOC 2, HIPAA, GDPR) were found as of mid-2026, which is typical for a pre-launch B2B tool but means buyers in regulated industries will need to vet data handling directly with the team before onboarding.
Pricing
Pricing is not published. Perceptron ML is in closed early access; prospective users book a 15-minute intro call at cal.com/tanmai to request onboarding rather than signing up self-serve. No free tier or trial has been confirmed publicly.
Key Features
- Real-time event ledger: Merges duplicate listings of the same underlying event, such as the same RFP posted on two government portals, into one canonical record instead of a dozen redundant alerts.
- Multi-source signal monitoring: Watches 4 distinct public data categories at once, including SEC and regulatory filings, government contract postings, data breach disclosures, and property listings.
- AI-drafted next action: The Percy agent drafts a summary, eligibility check, or outreach message the moment a matching signal is detected, cutting the manual research step out of the response.
- Human-approval gate: Every AI-drafted response requires explicit human sign-off before it is sent, so the platform augments a team's judgment rather than acting unsupervised.
- Vertical trigger configuration: Users define the specific event types that matter to their business, from a construction firm's RFP categories to a law firm's breach-disclosure keywords.
Pros
- Consolidates monitoring across 4+ fragmented public data sources (RFPs, SEC filings, breach disclosures, listings) into a single event feed, replacing manual multi-tab checking.
- The human-approval step before any outreach or filing response goes out reduces the compliance and reputational risk that fully autonomous outbound tools carry.
- Narrow vertical focus (GovCon, legal, real estate, trading) means trigger logic is tuned to industry-specific event types rather than generic RSS keyword matching.
Cons
- No public pricing, and access requires booking an intro call rather than self-serve signup, which slows evaluation for teams that want to try it immediately.
- Early-stage company with only 2-3 people publicly identified (Tanmai Kalisipudi and Ishaan Sharma) and no disclosed funding round, which raises execution and longevity risk.
- No published SOC 2, HIPAA, or GDPR attestation as of mid-2026, a likely blocker for law firms and financial teams handling regulated client data.
Frequently Asked Questions
What does Perceptron ML actually cost?
Perceptron ML has not published a price list. The company runs a sales-led early-access process: book a 15-minute call through cal.com/tanmai and the team quotes a custom rate directly. No discount tier or free trial has been confirmed as of 2026.
Does Perceptron ML have a free plan?
No. Perceptron ML offers no free tier, freemium plan, or trial period as of 2026. The product is reachable only through its closed early-access group, so anyone wanting to test it must first request access rather than sign up online.
Which tools compete with Perceptron ML in 2026?
Zapier suits teams that want broad, self-serve automation across thousands of generic apps instead of a narrow vertical tool. n8n fits teams that prefer a self-hostable workflow engine they fully control over a pre-built product. GovSignals is the closest direct rival, since it targets government contract and RFP monitoring specifically for GovCon bid teams.
What separates Perceptron ML from Zapier?
Zapier arrives mature: published pricing, a free starter plan, and integrations across thousands of common business apps. Perceptron ML skips that catalog and ships deduplication logic for the four regulated-event categories it tracks, with a human approving every draft before it sends. Breadth today belongs to Zapier; out-of-the-box monitoring of those specific event types belongs to Perceptron ML.
How long does it take to get going with Perceptron ML?
Days rather than minutes, because access runs through a call. Book time with founder Tanmai Kalisipudi via cal.com/tanmai, since there is no public self-serve signup. Once onboarded, you configure the event types that matter to your vertical, such as RFP categories for a construction firm or breach-disclosure keywords for a law firm, and Percy starts surfacing matching signals in a dedicated feed.
Top Alternatives
- Zapier: Zapier fires general-purpose no-code workflows across thousands of apps, while Perceptron ML watches GovCon, legal, and real estate signals specifically.
- n8n: n8n is the self-hostable, fully customizable workflow builder; Perceptron ML arrives with deduplication and drafting for public regulatory and RFP signals already built.
- Make: Make gives a visual scenario builder across hundreds of generic SaaS apps, whereas Perceptron ML's value sits in AI-drafted next actions on public signals.
HokAI guides covering Perceptron ML
- Best AI Agents for Business Ops in 2026: Buy the Job, Not the Platform: AI agents for business ops actually span five separate jobs, not one: calendar, inbox, project tracking, invoicing and vertical automation for 2026 buyers.