Engineering Next-Generation Therapeutics at Computational Scale.
India's premier AI-native Contract Research Organization. We engineer predictive deep learning architectures—DiscoveraAI, ReviveAI, and Enformis—to compress preclinical discovery, target validation, and solid-state formulation from years to under 72 hours.
Accelerated by global compute providers, premier state bio-incubators, and translational academic grants.
Three Synergistic Deeptech Pillars
From target to approved drug product: Ultraceuticals links de novo generative chemistry, knowledge-graph repurposing, and deep-learning solid-state formulation under Zero Trust Architecture.
DiscoveraAI™
De Novo Preclinical Discovery (DTPred, DockAI, AlphaFold/OmegaFold)
An integrated discovery environment that unifies structural, relational, and literature signals. From target identification with DTPred to high-confidence 3D protein structures via AlphaFold 2/OmegaFold and flexible molecular docking with DockAI.
Live Computational Platforms & Real Dashboards
Not conceptual mockups. Direct screenshots from our operational deeptech interfaces actively deployed for de novo molecular design, interactome drug repurposing, and autonomous regulatory intelligence.
DiscoveraAI™ Deeptech Suite
The flagship DiscoveraAI operational workbench directly captures real-time 3D PDB protein coordinates, computes Gibbs free energy (ΔG) via AutoDock Vina & DockAI, predicts ADMET pharmacokinetics, and optimizes pocket-conditioned ligands with zero false-positive filtering.
DiscoveraAI™ Deeptech Suite
High-Throughput De Novo Target Prediction, 3D Macromolecular Modeling & DockAI
ReviveAI™ (SCALEX) Engine
1.8 Million Nodes, 42M Biological Edges, Contrastive GNN Repurposing
Dossier360™ Intelligence Studio
Autonomous Hatch-Waxman Patent Swarms & BCS Bioequivalence Invalidation
Real-Time Structural & Docking Dynamics
Moving beyond static crystallographic models. Our engines simulate induced-fit protein cavity flexibility, conformational search trajectories, and nucleic acid interactions in 60fps real-time.
Atomic Forcefield Precision
Explicit solvent amber forcefield combined with QM/MM induced-fit sampling resolves allosteric binding grooves and calculates thermodynamic free energy (ΔG) with experimental-grade precision (±0.8 kcal/mol).
The End-to-End Discovery Architecture
From molecular data ingestion to clinical formulation insights. An integrated pipeline unifying Graph Neural Networks, Large Language Models, AlphaFold 2, and Zero Trust Architecture.
Zero Trust Data Ingestion
All biological, genomic, proteomic, and clinical datasets are securely ingested under Zero Trust Architecture. Cryptographic access verification, role-based isolation (RBAC), and immutable audit logs guarantee full data provenance and regulatory compliance.
Active Combinatorial Pipelines
Neurodegenerative Disease Combinatorial Project
Targeting Alzheimer's, Parkinson's & ALS CHIT1 microglial repolarization.
Novel Sleep Disorder Combinatorial Formulations
Personalized circadian regulation and dual receptor modulation.
Targeted Breast Health Therapeutics & Delivery
Targeted kinase crosstalk suppression with high tissue specificity.
BioFilm Omni™ 6.0 Bacterial Disrupter
EPS matrix disruption overcoming multi-drug antimicrobial resistance.
Test-Drive the Research Engine
Execute real-time simulated neural inferences across our active therapeutic and regulatory pipelines.
Assay 01: Phenotypic Microglial Repolarization (CHIT1 Target)
Four Years of Scientific Maturation
From founding algorithms to full-stack pharmaceutical intelligence. Fortem Biosciences has systematically de-risked every phase of the drug discovery, repurposing, and formulation lifecycle.
Founding & Heterogeneous Graph Architecture
Fortem Biosciences established Ultraceuticals in Bangalore with an algorithmic mandate. Initial construction of the human interactome heterogeneous knowledge graph and computational chemistry algorithms.
DiscoveraAI & DynaDock Molecular Dynamics
Expanded into generative chemistry for small molecules and biologics. Integrated microsecond-scale GPU molecular dynamics, DTPred target prediction, and FoldPredict 3D structural modeling.
ReviveAI (SCALEX) Enterprise Repurposing
Deployed the clinical-grade drug repurposing platform. Node-level contrastive GNNs with modality dropout defense, identifying high-confidence repositioning vectors for neurodegenerative diseases.
Dossier360 Autonomous Regulatory Swarm
Engineered multi-agent legal and scientific due-diligence intelligence. Ingestion of USPTO/WIPO claim graphs, Hatch-Waxman patent thicket triaging, and bioequivalence risk automation.
Enformis: The Solid-State Revolution
Our most recent breakthrough: Fine-tuned ChemBERTa predictive formulation AI. Predicts thermal degradation onset (Tonset ±3.8°C), crystal habits, and excipient synergy before wet-lab compounding.
The UASPIRE Alliance Program
Partnering with universities, research institutions, and student fellows (Woxsen University, NIT Calicut, SKB Bio-incubator) to advance cutting-edge AI drug discovery and computational biology.
Accelerate Your Preclinical Discovery Program.
Whether you require de novo candidate generation, knowledge-graph drug repurposing, or preemptive formulation modeling - Fortem Biosciences delivers verified computational results.