Introducing ReefIQ™

The living biological substrate for AI drug discovery

ReefIQ makes fragmented discovery data more usable for AI model reasoning. As MindWalk’s biological data substrate for AI drug discovery, it harmonizes data across systems, preserves provenance and program history, and links evidence to the biological patterns that inform discovery decisions, helping knowledge compound across programs.

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Built for the missing data layer in AI drug discovery

AI workflows need biological relationships, not just biological data

Biologics discovery knowledge is often fragmented across teams, systems, and formats, without a persistent way to organize it biologically and preserve its meaning. As AI models evolve rapidly, the gap is becoming clearer: the model is only as powerful as the biological foundation it can reason over. Without that foundation, valuable relationships stay buried and discovery knowledge loses strength as programs advance.

This changes everything

ReefIQ: One data substrate.
Two essential functions.

As AI tools evolve, discovery infrastructure needs to keep pace without losing biological depth. ReefIQ™ brings data orchestration and Bio-Native intelligence together in one living substrate, so agentic workflows, discovery programs, and pharma research decisions can build from organized and biologically meaningful data.

Data orchestration

A flexible architecture for harmonizing biological data, evidence, provenance, and program history across systems and sources. ReefIQ keeps discovery knowledge connected and traceable, so AI models and workflows can build from a consistent, versioned data foundation.

Bio-Native context layer

ReefIQ enriches discovery data with biological meaning. Powered by HYFT® Technology, it links customer data to patterns and relationships across sequences, structures, mechanisms, pathways, functions, and literature, adding multi-dimensional context for AI reasoning across complex biology.

Ingest:
Bring multi-source discovery data into a connected foundation.

Enrich:
Inter-link discovery data with HYFT context across biological patterns, relationships, functions, and mechanisms.

Compound:
Continually carry evidence and program knowledge forward.

Reason:
Make connected biological context available to AI models and discovery workflows.

The pattern language behind ReefIQ

Powered by HYFT Technology

ReefIQ is powered by patented HYFT Technology, MindWalk’s Bio-Native data foundation. HYFTs transform the relationships and patterns biology has preserved through evolution into an enterprise-scale intelligence layer, making biological data usable across complex workflows down to the subsequence level.

660M

Data patterns indexed

25B+

Biological relationships

Patented

HYFT Bio-Native intelligence

4D

Integration of Sequence, Structure, Function, Literature

Flexible by design. Ready for your AI strategy.

ReefIQ is designed to integrate with your data, systems, models, and workflows without forcing a platform choice. It helps teams advance their AI strategy with less implementation friction while making program knowledge more usable across discovery decisions.

Your infrastructure

ReefIQ builds on your existing infrastructure. HYFT converts sequence, structure, and assay data into biological anchors, adding a biological context layer to your current systems. Your teams continue working in familiar workflows with richer, connected biological context.

MindWalk’s LensAI™ infrastructure

LensAI provides MindWalk’s full AI reasoning environment for end-to-end biologics discovery and development, with ReefIQ organizing program evidence from the first experiment forward so knowledge value can carry forward.

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Target and candidate nomination

Improve program ROI from the start by surfacing hidden biological relationships, evidence patterns, and candidate risks earlier, helping teams make sharper target and lead decisions before major investment is committed.

Decision analysis

Surfaces reusable evidence, priority signals, evidence gaps, conflicts, and risk indicators across programs.

Evidence lineage

Create a traceable evidence base behind each major program move, so knowledge compounds across decisions before the cost of a wrong turn increases.

Provenance-aware context

Preserves links between source data, evidence, annotations, and biological context.

Traceable workflow memory

Preserves the evidence trail behind program decisions, helping reduce rework as evidence changes and teams advance.

Compounding knowledge

Turns accumulated program evidence into reusable knowledge that strengthens future discovery decisions.

Evidence-grounded reasoning

Separates direct evidence from inferred relationships, and hypothesis-level conclusions.

Governance-supported workflows

Applies customer-defined rules for data use, access, and program boundaries.

Model-flexible architecture

Lets teams change or add models without rebuilding the biological data foundation.

Security for enterprise discovery environments

ReefIQ supports data-sensitive life sciences workflows with security and privacy practices designed for enterprise use. MindWalk adheres to SOC 2, ISO 27001, and GDPR standards as part of its broader approach to data protection, access control, operational oversight, and responsible handling of customer information.

Data foundation	ReefIQ advantage
Biological data records	Native domain semantics: HYFT preserves the biological meaning of each data point, making related biology easier to find, compare, and reason over at the right level of detail.
Multi-omics data	Connected biological context across sequence, structure, function, assay, literature, mechanism, and disease relevance, resolved to the same residue and atomic detail.
Data lineage and source records	Traceable evidence paths linking source data, relationship type, provenance, and context.
Project-specific outputs	Reusable insight that carries forward across discovery workflows and programs.
New incoming data	Continuous enrichment as new HYFT relationships can update the relevance and context of existing biological patterns.

Inspired by a living ecosystem

ReefIQ draws inspiration from Darwin’s view of natural systems as dynamic, interdependent, and constantly evolving. It reflects how many distinct parts function as one living whole, continuously exchanging information and responding to change. As a data substrate, ReefIQ provides the foundation for context, intelligence, memory, and action to move through the system.

ReefIQ Data context layer