Last updated: 2026-07-04
Perceptron ML: invite-only AI platform turning SEC filings, RFPs, and listings into drafted responses across 4 verticals, with human approval before send.
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.
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 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.
Perceptron ML is an event-driven automation platform built by Perceptron Labs, a small early-stage startup founded by Tanmai Kalisipudi. It monitors public data sources such as SEC filings, government RFP postings, data breach disclosures, and property listings, and uses an internal AI agent called Percy to deduplicate matching events into a single real-time ledger. Percy then drafts the next step, whether a case summary, an RFP eligibility check, or an outreach message. A human reviews and approves every draft before it is sent, so the tool functions as an acceleration layer rather than a fully autonomous system. It is aimed at teams whose revenue depends on acting within minutes or hours of a public event, such as law firms, GovCon contractors, real estate investors, and trading desks.
Perceptron ML has not published any pricing tiers, per-seat costs, or a free trial as of mid-2026. Access is gated behind a short introductory call booked through the founder's Cal.com page rather than a self-serve checkout flow, which suggests a custom or enterprise-style sales motion typical of an early-access B2B product. There is no confirmed free tier. Prospective users should expect to discuss pricing directly during onboarding rather than finding it listed on the website. This is common for pre-launch tools still onboarding a small, curated group of customers, but it does mean cost cannot be verified independently before a sales conversation.
The core feature is a real-time event ledger that deduplicates the same underlying event, such as one RFP posted across multiple government portals, into a single canonical record instead of multiple redundant alerts. The Percy AI agent monitors at least 4 categories of public data sources at once: SEC and regulatory filings, government contract postings, data breach disclosures, and property listings. When a matching signal appears, Percy drafts the appropriate next action, such as a summary or outreach message. Every draft passes through a mandatory human-approval gate before it goes out, and users configure which specific event types trigger monitoring for their vertical.
No confirmed free tier exists for Perceptron ML as of mid-2026. The product is in closed early access, and the company has not published a self-serve signup or trial option on its website. Instead, interested users book an intro call to be considered for onboarding. Because pricing itself is undisclosed, it is not possible to confirm whether a free or discounted tier will exist once the product moves out of early access. Teams evaluating the tool should treat it as a sales-led, likely paid product until told otherwise on a call.
Zapier is the closest general-purpose alternative if a team wants broad no-code workflow automation across thousands of apps rather than vertical-specific signal monitoring, though it lacks Perceptron ML's built-in deduplication of public regulatory and RFP data. n8n is a strong choice for teams that want a self-hostable, fully customizable automation engine and are comfortable building their own signal-monitoring logic. Make (formerly Integromat) suits teams that want a visual drag-and-drop scenario builder connecting hundreds of SaaS tools. A more direct vertical competitor is GovSignals, which focuses specifically on government contract and RFP monitoring for GovCon teams.
Perceptron ML is best for small, fast-moving teams in law, government contracting, construction, real estate investing, and trading who need to act within minutes or hours of a public event, such as a data breach disclosure, an RFP posting, a new listing, or a regulatory filing. It suits GovCon bid managers, litigation attorneys sourcing new matters, real estate investors making fast offers, and trading desk analysts. It is not a good fit for solo freelancers, consumer users, or teams that need self-serve signup and transparent pricing today, since the product is currently invite-only and sales-call gated.
No public API documentation, developer portal, or Model Context Protocol (MCP) support has been found for Perceptron ML as of mid-2026. No GitHub repository, webhook system, or named third-party integrations such as Slack, Zapier, or CRM connectors have been confirmed publicly. This is consistent with the product's current early-access, sales-led stage, where integration details are likely discussed directly with the team during onboarding rather than published. Teams that need confirmed API access or MCP compatibility today should verify directly with Perceptron Labs before purchasing.
Zapier is a mature, general-purpose workflow automation platform with published pricing (a free tier plus paid plans starting under $30 a month) and thousands of app integrations, while Perceptron ML is an early-access, sales-gated tool with undisclosed pricing focused narrowly on 4 vertical data sources. Choose Zapier if you need broad, self-serve automation across common business apps today. Choose Perceptron ML if your priority is out-of-the-box deduplication and AI drafting specifically for government RFPs, SEC filings, data breach disclosures, or property listings, and you are comfortable with an invite-only onboarding process.