Built ForDecisions,
Not Just Data.
Where others summarize, Perceive Now contextualizes.
Where others inform, Perceive Now guides.
For P&L Owners, Delays Are Expensive.
Chat-based AI gives you something to read.
Perceive Now tells you what to do next — and why.
If you're responsible for outcomes, not just output — there's only one choice.
This isn't AI for curiosity.
This is AI for Accountability
When Fast Answers Become Dangerous
Speed Isn't Insight. And Convenience Isn't Accuracy.General LLMs hallucinate all the time—and worse, they do it convincingly. That's not just a bug. It's a blind spot that puts your strategy at risk.
General LLMs
Scraped public web. No proprietary or verified records.- Unstructured. Format changes with every prompt.
- Can cite, but no audit trail or accuracy scoring.
- Built for broad Q&A. Not grounded in business use cases.
- Replies in seconds. Lacks context retention.
- Filler-heavy. Insight buried in generic text.
Perceive Now
Trained on 12M+ patents, 100K+ filings, 50+ expert panels, and proprietary surveys across 8+ industries.- Delivers 5−15 page reports, 8+ tailored sections, 20−50 key metrics, aligned to business goals.
- 100% source-backed. Timestamps, links, and confidence scores (90−99.9%) per section.
- Supports 30+ workflows: pricing, IP risk, GTM, regulation, M&A, and more.
- Delivers in 48 hours with 3−5 layers of business logic and contextual linking.
- >80% signal density. Includes benchmarks, statistical ranges, and go/no-go calls.
Insight starts where others can't even look.
Get StartedInsight starts where others can't even look.
Only one returned the right answer.
“We trusted an AI-generated legal brief without verifying its sources. The court found that several cited cases didn't exist, leading to sanctions and a significant hit to our firm's reputation.”
Attorney involved in Mata v. Avianca case
What Makes Perceive Now Different?
- Prior Art
- Validity
- Licensing
- Assignments
- Growth trends
- Tailwinds
- Competitive signals
- VC activity
- M&A moves
- Dead portfolio potential
Why General LLMs Can't Match Perceive Now
Spot Patterns
Surface-level trend detection
Requires prompting
Answers depend on user input
Equal signal weight
Lacks understanding of importance or sequence
Prioritize signals
Weighs insights like an investor, by impact and timing
Delivers judgment
Proactive, context-aware intelligence
Built-in signal hierarchy
Understands what matters most—especially in valuation
Enterprise-Grade Insights Without the Noise
In February 2023, Google's AI chatbot Bard inaccurately claimed that the James Webb Space Telescope captured the first images of an exoplanet. This error, highlighted during a promotional event, led to a sharp decline in investor confidence, causing Alphabet's market value to drop by approximately $100 billion in a single day.
Google Bard's $100 Billion Misstep
Why We Are Hard to Replicate
The Core Advantage
Depth. Relevance. Speed to Clarity.
No one else combines niche domain data, decision-weighted signals, and real-time insights like PN.
and tells you what to do next
Perceive Now Was Built Because Hallucinations Aren't Harmless
We've seen too many business leaders unknowingly use flawed data, cite fake metrics, or make decisions based on output that looked polished—but wasn't real.
That's why Perceive Now exists
