We don't just build software. We build drugs.
We are actively acquiring clinical-stage assets to run through our engine.

First Asset Announcement Imminent
> TERMINAL_OUTPUT
LIVE
14:02:31INFOIngesting IND_package_v4.pdf...
14:02:33PROCESSParsing inclusion/exclusion criteria...
14:02:34SUCCESSIdentified 3 blocking constraints.
14:02:36ACTIONAgent_Regulatory querying FDA_Guidance_Oncology_2024...
14:02:39UPDATEOptimizing site selection algorithm...
14:02:42WARNDetected potential enrollment bottleneck in Region_EU.
14:02:45AUTOFIXRerouting patient catchment strategy...
14:02:48SUCCESSProtocol efficiency increased by 340%.
14:02:49READYAwaiting human approval for submission.

SIMULATION: FIB-001 [Oncology]

Comparative Velocity Analysis

LEGACY PHARMA18 MONTHS TO IND
FIBONACCI ENGINE4 MONTHS TO IND
Compute
98%
Agents
ACTIVE
Risk
LOW

The Math Behind the Magic

Our thesis is simple: the bottleneck in drug development isn't science—it's operations. Here's the data.

TIMELINE COMPRESSION ANALYSIS

Phase-by-Phase Breakdown: Discovery to IND

Traditional
72w
~18 months
Fibonacci
10w
~3 months
Compression
86%
time saved
Traditional Timeline
Fibonacci Engine

EROOM'S LAW

Eroom's Law (Moore's Law spelled backwards) describes the exponential decline in pharmaceutical R&D productivity since the 1950s.

Drugs Approved per $1B R&D Spend (Indexed)

025507510019501970199020102030YearProductivity IndexGolden EraRegulation IncreaseCombinatorial ChemistryGenomics EraPatent CliffAI EmergenceFibonacci FoundedProjectedTarget
Historical Decline
Fibonacci Projection
THE FIBONACCI THESIS

By automating the operational complexity that drives Eroom's Law—regulatory navigation, protocol optimization, and CMC documentation—we can reverse the productivity decline without changing the underlying science.

We Are Buying.

The industry is full of "dead" assets that aren't actually failures—they just failed to fit a timeline or a budget. We are looking for validated biology that needs a new operating system.

If you have an asset gathering dust because the Phase 2 protocol is "too complex" or the regulatory path is "too murky," we want it.

Contact Business Development

ACQUISITION_TARGETS

  • Clinical Stage

    Phase 1 ready or Phase 2 stalled. We accelerate, we don't discover.

  • Data Rich

    Must have solid preclinical packages. Our agents run on data, not hope.

  • Operational Bottlenecks

    We seek assets where the primary blocker is execution speed or regulatory complexity.

The clinical refinery is waiting.

Stop optimizing for the PDF. Start optimizing for the patient.