Foresight
Governed Intelligence for Life Sciences
Foresight is a product of Mentis Health, a Bespoke Mentis company.
Foresight transforms fragmented biomedical data into structured, auditable strategic intelligence - for medical affairs, regulatory, and leadership teams in pharmaceutical and biotechnology organizations. Every insight is evidence-backed. Every score is deterministic. Every output carries a cryptographic audit trail.
Current Status · Internal Use Only
Foresight is live and operating in production. It is currently in a controlled internal validation phase - overseen by an independent licensed physician and medical affairs specialist conducting a formal clinical accuracy and evidence-chain audit. A peer-reviewed whitepaper and case study are in progress. Commercial access opens upon completion of this validation.
Scoped Pilot: $50K–$75K · Intelligence Pilot: $150,000/year · Early Access: contact us
Pharma's Intelligence Gap Is Expensive
Fragmented Data
Clinical trial data, FDA decisions, HTA outcomes, competitor pipeline movements, and payer policies exist across dozens of disconnected sources. No single platform connects them coherently.
? Strategic decisions made with incomplete pictures.
Slow Intelligence Cycles
Manual synthesis of competitive intelligence takes weeks. By the time a brief reaches leadership, the landscape has shifted. Advisory committee results and competitor approvals move fast.
? Weeks of delay in decisions that move at market speed.
No Traceability
When a strategic decision is made, there is often no auditable record of what information drove it, what the AI was told, or whether the output was appropriate for a regulated context.
? Regulatory exposure and reputational risk.
Not just another AI tool. An intelligence operating system.
Most AI tools for pharma are point solutions - search boxes, summarizers, chatbots. They produce plausible-sounding outputs with no way to verify where information came from, whether the same query would produce the same answer tomorrow, or whether the output is appropriate for a regulated context.
Foresight was built differently. It operates as a complete intelligence operating system: ingesting live data, structuring it into a governed knowledge graph, reasoning over it with bounded retrieval, and producing typed outputs with full citation sets and cryptographic audit trails.
Live Data Ingestion
PubMed, ClinicalTrials.gov, FDA - continuously updated with source provenance on every record.
Governed Reasoning
Bounded retrieval only. If it cannot be cited, it cannot be stated. Zero hallucination by design.
Deterministic Scoring
Simulation and validation scores are rule-based and reproducible. Same inputs, same outputs, always.
Immutable Audit Trail
SHA-256 hash-chained evidence ledger. Every query, every output, every decision - cryptographically sealed.
Six Structured Intelligence Capabilities
Intelligence Workspace
Governed AI query interface for clinical and competitive questions. Every answer includes a full citation set, retrieval method, and compliance flags. Audit trail attached to every query.
Retrospective Validation
Six frozen knowledge cutoffs spanning validated timepoints. The platform generates standardized intelligence outputs and scores them against verified ground truth. SHA-256 hash on every snapshot.
Counterfactual Replay
Given only information available at a historical date, what strategic intelligence would the system have generated? Scored against what actually happened. Validates signal detection and competitive awareness under real uncertainty.
Enterprise Simulation
Rehearsal environments for the highest-stakes moments in pharma: FDA Advisory Committee challenges, 483 response rehearsals, FAERS spike drills, board program defense. Six-dimension scoring on every session.
Payer Landscape Intelligence
Dual-side validation: clinical intelligence and payer intelligence from a single platform. HTA body outcome tracking across ICER, NICE, IQWiG, and CADTH. Reimbursement risk scoring per asset.
Governance & Compliance Layer
Role-based access control with tenant isolation. Approvals inbox with plain-language risk summaries. Policy engine with fail-closed enforcement. Designed to satisfy FDA AI guidance, EU AI Act, and HIPAA requirements.
Who Uses Foresight and How
Medical Affairs
Compress competitive intelligence cycles from weeks to hours. Align distributed MSL teams with structured knowledge updates. Generate training materials from the latest clinical evidence.
Regulatory Affairs
Rehearse FDA Advisory Committee scenarios before the actual event. Simulate 483 response preparation. Understand label risk before submission. Every rehearsal scored with a forensic report.
Market Access & Payer Strategy
Understand reimbursement risk before it materializes. Track HTA body outcomes across ICER, NICE, IQWiG, and CADTH. See clinical and payer readiness side by side for every asset.
Medical Directors & Leadership
Query the full competitive and clinical landscape and receive cited, auditable answers. Every answer traceable to source documents with full compliance status.
Biostatistics & Clinical Development
Defend endpoint selection and Phase II?III go/no-go decisions against a governed simulation environment. Understand where your data is strong and where challenges will come from.
Portfolio Strategy
Run counterfactual replay to understand how strategic intelligence would have looked at historical inflection points - and score the quality of that intelligence against what actually happened.
A Modular Intelligence Architecture
Foresight is not a monolithic AI system. It operates as a network of specialized intelligence cores - each with a defined function - coordinated through a governing orchestration layer. This architecture, inspired by modular neuroscience principles, ensures each component operates within strict boundaries.
Full architecture reference + peer-reviewed validationEvidence Core
- Working MemoryIngests and stores all scientific and market data. Every record receives a cryptographic fingerprint at the moment of ingestion. The ledger is immutable and hash-chained - tampering is always detectable.
Reasoning Core
- Analytical ThinkingApplies governed AI reasoning using only bounded, verified context. The core retrieves citations before forming conclusions - never the other way around.
Simulation Core
- Judgment Under PressureRuns scenario simulations against named pharma contexts: regulatory submissions, safety escalations, clinical development decisions, executive strategy challenges. Scoring is fully deterministic and reproducible.
Governance Core
- Operational ConscienceEnforces policies, manages human approval gates, tracks costs, routes models, and maintains the compliance posture of every operation.
Validation Core
- Self-ReviewTests the system against historical ground truth on frozen knowledge cutoffs, scores outputs deterministically, and produces cryptographically verifiable validation reports.
The Architecture Is Not Novel.
The Brain Proved It First.
Foresight's 5-core modular intelligence architecture - each core with a defined domain, coordinated under a governing orchestration layer - is the first implementation of this design in a regulated pharma and biotech intelligence context. The architecture is validated independently by MIT, Berkeley, EPFL, Numenta, and a 2026 arXiv review paper.
First Deployment of This Architecture in Regulated Healthcare AI
Mentis Console - the platform Foresight is built on - was the first system to implement a brain-inspired, constitutionally governed, multi-core AI architecture in production software. Foresight extends that architecture into a new domain: pharmaceutical competitive intelligence, medical evidence analysis, and regulatory-grade payer analytics. This is not a RAG chatbot with a pharma prompt. It is a governed, modular intelligence system - the first of its kind in this space.
MIT + Nature Communications, 2025
Modular Agentic Planner (MAP)
MIT CSAIL - Liu, Gan & Tegmark
Brain-Inspired Modular Training (BIMT)
EPFL · MIT · Harvard - MiCRo
Mixture of Cognitive Reasoners
Berkeley - Alpha Framework, 2025
Governed Modular AI in Safety-Critical Environments
Numenta - Thousand Brains Project, 2024
Cortical Column Architecture & Cortical Messaging Protocol
arXiv 2026 - Salatiello · ICLR Re-Align
"Modularity is the Bedrock of Natural and Artificial Intelligence"
Marvin Minsky - MIT Media Lab · Society of Mind (1985, validated computationally 2025)
"Intelligence emerges not from a single unified processor, but from interactions among simple, specialized agents - each expert in its domain, coordinated by a governing frame."
Foresight was not designed to be a chatbot with pharma data. It was designed as a governed network of specialist intelligence cores - each operating in its domain, integrated by an orchestration layer - exactly as Minsky described and as the research above validates.
arXiv:2508.19042 · Concurrent Modular Agent Framework - practical realization of Society of MindBuilt for the Governance Standards of Regulated Industries
Without Foresight
- Intelligence from tools with no audit trail
- Citations that cannot be verified or reproduced
- Scoring that varies run to run
- No separation between clinical and payer intelligence
- Strategic decisions with no traceable evidence chain
- Teams operating from different, unaligned data
- No rehearsal environment for high-stakes regulatory moments
With Foresight
- SHA-256 hash-chained evidence record on every output
- All citations verified and traceable to source documents
- Deterministic scoring - identical inputs, identical outputs, always
- Clinical and payer intelligence from a single governed platform
- Every strategic decision backed by an auditable evidence record
- Aligned organizational knowledge across all teams and roles
- Enterprise simulation for regulatory, safety, and executive scenarios
Constitutional Framework
Governance is not a feature. It is the operating foundation of every system Bespoke Mentis builds.
Evidence Ledger
Immutable SHA-256 hash-chained ledger. Every ingestion, query, and output - cryptographically sealed and tamper-detectable.
Compliance Alignment
Designed to satisfy FDA AI/ML Guidance (2026), EU AI Act high-risk requirements, HIPAA-aligned data isolation, and EU HTA reproducibility standards. Security and certification details: Trust Center →
Priced Against What It Replaces
A mid-size pharma competitive intelligence function costs $1.4M–$2.6M per year - salaries, tools, consultants, and external CI platforms. Foresight replaces most of that at a fraction of the cost.
The Autopilot Math - What Foresight Replaces
Scoped Intelligence Pilot
60-day bounded engagement
Validation services: $25K–$50K (IQ/OQ/PQ, 21 CFR Part 11, CSA support)
Series A/B biotech with a single asset ready to evaluate Foresight in one therapeutic area before committing to full deployment.
Intelligence Pilot
year one
Validation services: $50K–$100K (URS, FRS, IQ/OQ/PQ, 21 CFR Part 11, CSA support)
Pharma or biotech organizations ready to evaluate Foresight in a defined therapeutic area with full constitutional governance.
Commercial Intelligence Platform
/year
Validation services: $75K–$150K (full IQ/OQ/PQ suite, annual re-validation support)
Clinical-stage to commercial pharma with 2–5 therapeutic areas and cross-functional medical affairs, regulatory, and market access teams.
Constitutional Enterprise Platform
/year · Custom annual
Validation services: $100K–$250K+ (full GxP package + periodic review plan)
Large pharma with global commercial operations, multiple franchises, and regulatory in multiple regions. Pricing scoped by franchise count and infrastructure requirements.
Pharma Procurement — Timeline & Process
All Foresight engagements include a validation documentation package (URS, FRS, IQ/OQ/PQ templates, 21 CFR Part 11 compliance matrix, data use prohibition, and audit rights SLA). Bespoke Mentis supports your QA/RA team through the Computer Software Assurance (CSA) process. Validation adds 6–12 weeks to the procurement timeline. Multi-year agreements (3-year preferred) available with annual upfront billing.
White Paper: Governance-First AI in Regulated Life Sciences
A formal white paper on the Foresight architecture, governance model, and validation methodology is currently being written. It will address FDA AI/ML guidance alignment, EU AI Act compliance, and deterministic scoring design for regulated pharmaceutical intelligence systems.
Register for Early AccessReady to see what governed pharma intelligence looks like?
Foresight is available for qualified pharmaceutical and biotechnology organizations. Before scheduling a formal introduction, we recommend speaking with Mentis directly - our governed AI companion can answer architecture questions and help you understand what a deployment looks like for your organization.
Strategic Collaboration
Experienced within pharmaceutical and biotech? We are selectively speaking with operators, sector specialists, and co-build partners.
Common Questions