Meet Your Network of Specialized AI Micro-Agents.
gaide is not a generalist AI. It is a proprietary System of Intelligence designed to replicate the cognitive processes of Health Technology Assessment (HTA) bodies.
While others focus on summarizing public data, we simulate decisions. We have built a "Hive Mind" of country-specific agents—hard-coded with the intuition of industry experts and trained on decades of payer precedents.
A highly specialized AI system trained on comprehensive set of relevant data
We treat HTA strategy as a high-precision data science problem. Our technology stack moves beyond simple text processing to a rigorous, three-layer pipeline that turns regulatory noise into computable, predictive signals.
The Data Refinery
Vertical ETL
Granular Feature Engineering
Quantifying Intuition
Micro-Agent Network & Integration
Reconstructing Logic
The Data Refinery
Turning Unstructured Noise into a Unified Intelligence Grid.
Raw regulatory data is unstructured and disconnected. A 2024 guideline update might invalidate a 2021 pivotal trial design, but standard search tools won't catch the link.
We have built a Dynamic Intelligence Grid that ingests, cleans, and structures data from disparate sources, creating a unified "single source of truth."
Semantic Evolution Tracking
Our system acts as a "Time Machine," tracking how medical concepts (e.g., "Standard of Care") evolve over decades. We don't just know what the rules are today; we know how they change, allowing us to predict future requirements.
Granular Feature Engineering
Quantifying Regulatory Intuition.
The core challenge of HTA is that guidelines are qualitative (text), but prediction requires quantitative data. We bridge this gap by translating regulatory language into math.
Translating Text to Features
We translate qualitative regulatory text into thousands of computable features.
Proprietary Vectorization
Instead of feeding raw text to a model, we engineer proprietary vectors that quantify strategic concepts.
Digitizing Strategy
We turn "regulatory intuition" into math.
The Micro-Agent Network & Integration
Reconstructing the Decision Logic.
We move beyond simple prediction to a complete reconstruction of the assessment process.
Specialized Reconstruction
Each model is country-specific and is task-built to reconstruct exactly how HTA bodies make decisions.
Holistic Synthesis
By merging the outputs of these independent, high-precision models, we construct a comprehensive, multi-dimensional view of the HTA outcome.
Mathematical Logic
We don't just "guess" the result; we mathematically reconstruct the decision logic used by the committee.
Evidence-Based. Data-Backed. Battle-Tested.
Our models are not hallucinating; they are referencing a massive, structured dataset of historical reality.
Explainability as a Feature.
In the pharmaceutical industry, a "Black Box" prediction is a liability. You cannot base a billion-dollar decision on "The AI said so."
Traceable Logic via RAG (Retrieval-Augmented Generation)
We adhere to a strict "White Box" architecture. Every prediction, risk flag, or recommendation is citations-backed.
"High risk of rejection."
"78% Risk of Rejection because the comparator violates G-BA Guideline Section 4 (2023) and mirrors the failure pattern of Asset X (2022)."
This is not just data processing. It is the digitization of strategy.
The Era of Trial and Error is Over.
We have turned the art of Market Access into a solvable science. By replacing subjective guesswork with adversarial simulation, gaide ensures that when you finally face the payer, the outcome is not a gamble—it is a calculated certainty.
Welcome to the new physics of decision-making.
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