
Cypris vs. Microsoft Copilot
Copilot runs on training data and web crawled content. Cypris runs on structured scientific, and commercial intelligence built for R&D. Relying on the wrong one for high stakes R&D & IP decisions can present tremendous risk.
Powering world-leading R&D & IP teams
Two tools. Two very different jobs.
AI can take many forms, and like the early days of software, different tools are built for different jobs. Copilot is built for internal wikis, presentations, and orchestration. Cypris is built for R&D and IP strategy. Both use AI, but serve fundamentally different use cases.
500M+ bespoke datapoints
Through Cypris, you gain access to 180M patents, 280M papers, 120M chemical compounds, and a wide range of market and regulatory intelligence, data Copilot simply does not access. Additionally, users gain access to critical unlocks like closed-access paper purchasing, journal integrations, and monitoring capabilities not available in broad LLM solutions.
R&D & IP ontology
Technical and scientific data is highly nuanced, and AI needs structure to interpret it correctly. Copilot’s general-purpose design limits its ability to do this. Cypris applies a purpose-built ontological framework to every prompt, enabling the model to understand patent families, citations, journal credibility, and more.
Workflow oriented UI
Copilot provides general chat interfaces and document tools that require manual setup. Cypris is built around R&D workflows like Freedom to Operate, Prior Art, Landscaping, Monitoring, Flagging, and Paper Unlocking, reducing time spent recreating these processes in a general tool.
Enterprise-grade security
SOC 2 Type II. U.S.-based infrastructure. Tenant isolation by design. Deployed across defense and government. Cypris meets strict enterprise standards while maintaining full access to external R&D intelligence beyond internal document systems.
Where it matters most for R&D & IP
We ran the same test through both. Here's what came back.
A single FTO query on solid-state lithium-sulfur battery electrolytes, submitted verbatim to both tools on the same day. No follow-ups. The gap isn't a tuning problem. It's structural.
Cypris
40+
SURFACED
Filings surfaced with full text and FTO risk tiered.
Tracking legal events and citations daily across global patent offices.
Cypris
100%
VERIFIABLE
Every result cited with patent number, assignee, and filing date
Traceable back to full-text global records.
Microsoft Copilot
4
MISSED
Entire Solid Energies and UMD portfolios missed.
The highest-risk IP in this space were invisible to Copilot.
Cypris
Web
INFERRED
Citations pulled from blogs and crawled web snippets
No link to the live patent record. Assignees often inferred, not retrieved.
What purpose-built R&D intelligence actually unlocks.
Decisions your team can defend
Every answer traces back to authoritative sources. Walk into a stage-gate
review, a board meeting, or outside counsel with evidence, not a chatbot's
best guess.
One question. Every source.
Patents, scientific literature, chemistry, company data, grants, and news —
searched together. Stop stitching insights across six tools. Ask once, get
the full picture.
See the filings nobody's written about yet
General AI surfaces the companies everyone's already talking about.
Cypris surfaces the insights buried across complex knowledge graphs.
That's where competitive advantage actually lives.
Knowledge that compounds
Every search, project, and internal upload builds your team's institutional
memory. When an analyst leaves, their work stays. Copilot indexes documents.
Cypris builds an R&D intelligence layer.
The Cypris Innovation Database
500M+ documents globally sourced and updated daily. "The Bloomberg Terminal for innovation data." — R&D World Magazine


from 20K+ journals


from 150+ countries


across 200+ countries
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optimized for AI
The impact of switching from general- purpose AI to Cypris.
65
%+
500
M+
$
500
K+
Knowledge is power
What can your team accomplish with the power of AI?
Frequently Asked Questions
Everything you need to know before getting started.
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