Perceptron ML monitors real-world signals like legal filings, government contracts, and property listings, then uses Percy to deduplicate them and draft a tailored response in minutes. You approve before anything goes out. It is invite-only with no public pricing, aimed at law firms, construction teams, and investors who need to act on opportunities faster than competitors.
Perceptron ML is a signal-monitoring agent built by Perceptron Labs. It scans government filings, property listings, RFPs, and court records in real time, deduplicates overlapping events, and drafts a ready-to-send response within minutes. Human approval is required before anything goes out. Pricing is not publicly listed. It is invite-only, serving a small group of law firms, investors, and construction contractors.
Maker: Perceptron Labs · Autonomy: semi autonomous · Maturity: ALPHA
About Perceptron ML
Perceptron Labs, a startup founded in late 2024 by CEO Tanmai Kalisipudi, built Perceptron ML to watch government contract databases, legal filing systems, property listing feeds, and financial regulatory filings around the clock, then convert raw signal noise into a single deduplicated event a human can act on immediately. The core problem it solves: organizations discover opportunities after a competitor has already responded. An RFP published at 9am goes to the fastest team, not the most qualified one.
Percy, the AI agent at the heart of the platform, handles monitoring and drafting. It scans multiple data sources that publish the same event from different angles, merges them into one clean record, and adds it to a real-time event ledger. When a signal matches a preset trigger (a new matter, a new RFP in your category, a new listing, a new SEC filing from a target), Percy generates a draft: a summary, an eligibility check, a bid outline, or an outreach message. The draft waits in queue until a human approves it. The underlying LLM is not publicly disclosed.
Law firms use Perceptron ML to spot new client matters the moment data breaches and legal filings surface, then launch response campaigns within hours. Construction teams track hundreds of government procurement portals and receive a bid-ready draft before most competitors have opened the announcement. Investors get an alert and a first draft offer the hour a property or acquisition target appears. Trading desks trigger analysis workflows seconds after a regulatory filing publishes.
The product is invite-only as of mid-2026. Perceptron Labs is onboarding a small initial group of contractors, legal teams, and builders. Interested teams can join a waitlist or request a demo directly from the website. Given the early stage and custom nature of the triggers, pricing will be negotiated on a per-team basis.
Perceptron Labs is a team of roughly 3 people operating at an early alpha stage. The platform is deliberately narrow: filings, RFPs, and listings, where timing advantage is clear and measurable. The technical thesis is that most AI products tell you what happened after you already knew; Perceptron ML tells you what is happening and files your paperwork before competitors check their inbox.
Pricing
Invite-only as of June 2026. No public pricing available. Teams join a waitlist or book a demo. Pricing is expected to be custom and enterprise-negotiated per team.
Key Features
- Real-Time Signal Scanning: Percy monitors government contract databases, legal filing systems, property listings, and financial regulatory feeds continuously, catching new events within minutes of publication.
- Event Deduplication: Percy merges overlapping signals from multiple fragmented sources into a single clean event record, so teams see one actionable alert instead of dozens of duplicate notifications.
- Automated Draft Generation: For every trigger event, Percy produces a first draft automatically: bid outlines, eligibility summaries, outreach messages, or case analysis, ready for human review before sending.
- Human Approval Gate: Every automated response stays in a human-review queue before delivery, so teams move quickly without losing control over what goes out under their name.
- Real-Time Event Ledger: Percy maintains a running log of all detected signals and their status (new, reviewed, responded), giving teams a searchable record of every opportunity and action taken.
Strengths
- Collapses the time between signal and response from days to minutes, a direct timing advantage in markets like government procurement and legal intake where first-mover often wins.
- Turns dozens of noisy alerts from overlapping sources into one actionable record, which matters most in fragmented markets like government contracting where the same RFP gets posted on multiple portals.
- Nothing reaches a client or counterparty without a human reading it first, which matters in regulated fields like law and finance where an unreviewed AI draft can create real liability.
Weaknesses
- Invite-only access as of June 2026 with no public onboarding path: teams must join a waitlist or book a demo, which delays evaluation by days or weeks.
- Pricing is not disclosed, making it impossible to budget without a sales conversation, a friction point for smaller teams and individual evaluators.
- The underlying LLM is undisclosed and no benchmark data exists, so draft quality for bid outlines, eligibility checks, and outreach cannot be evaluated independently before committing.
Frequently Asked Questions
What are Perceptron ML's pricing plans in 2026?
Perceptron ML has no published price list in 2026: access is invite-only, and pricing is negotiated per team once you clear a waitlist or demo request. There's no self-serve checkout or published tier structure. Expect enterprise-level, custom quotes shaped by the number of signal sources and triggers you need monitored.
Is Perceptron ML free to use?
There's no free plan or trial: every team works through a waitlist or a demo call before gaining any access at all. Pricing only becomes concrete after that conversation, which makes it hard to test-drive the product before committing to the invite-only pipeline.
What are the best alternatives to Perceptron ML?
n8n suits teams that want self-hosted, code-first workflow automation instead of an invite-only SaaS. Clay fits go-to-market teams enriching CRM rows rather than watching external filings and listings. Zapier covers broad app-to-app triggers across thousands of integrations but has no built-in AI drafting or real-world signal monitoring. None of the three deduplicate fragmented government, legal, or property signals the way Percy does.
Perceptron ML or Zapier: which should you pick?
Pick Zapier if you want broad app-to-app automation today: it starts around $20 a month and connects roughly 7,000 apps, but you still have to notice the trigger event yourself. Pick Perceptron ML if the trigger is a real-world event, like a new RFP, court filing, or property listing, since Percy watches those sources directly and drafts the first response. Zapier has no AI drafting layer or built-in signal deduplication across fragmented public sources.
What does it take to start using Perceptron ML?
Getting in means requesting a demo through perceptronml.com or landing a waitlist slot, since no self-serve option exists. Once admitted, you define which signal sources and trigger conditions Percy should watch, such as specific RFP categories or filing types, then review sample drafts before going live. Expect a sales conversation covering pricing and configuration before full access opens up.
Top Alternatives
- Zapier: Pick Zapier if you need broad app-to-app automation across 7,000 integrations; pick Perceptron ML if you need proactive monitoring of real-world filings and RFPs with AI-drafted responses.
- n8n: Pick n8n if you want self-hosted, code-friendly workflow automation; pick Perceptron ML if you need an agent that monitors unstructured external signals and drafts outreach automatically.
- Clay: Pick Clay if you need GTM data enrichment and outbound automation; pick Perceptron ML if your trigger is a real-world event like a filing or RFP rather than a CRM row.