Consensus is an ultra‑fast, AI‑powered drug ideation system that simulates an early‑stage medicinal chemistry team in seconds. Instead of producing a single molecule, Consensus generates multiple candidate drug concepts, evaluates them across key pharmaceutical properties, iteratively improves them, and ranks the most promising options for human review.
By leveraging Cerebras’ extreme inference speed, Consensus compresses what traditionally takes researchers days or weeks of back‑and‑forth analysis into a single interactive session that takes seconds.
Early-stage drug discovery is about reasoning through thousands of competing constraints at once. A good candidate has to balance biological effectiveness, safety, synthesizability, and chemical stability; most AI systems evaluate these one at a time or in sequence. That’s slow and misses complex trade-offs. High-inference AI lets us evaluate many possibilities in **parallel, compare them intelligently, and narrow down to the strongest options much faster.
Drug ideation requires simultaneous reasoning about:
We turn what is normally a slow, sequential filtering process into a fast, parallel decision engine. That’s exactly what is needed today.
AI Drug Discovery Tools Comparisons
| AI tool | Time to Run |
|---|---|
| Consensus Bio (us) | 5 sec. |
| AIDDISON™ | 45 sec. |
| Exscientia | 60 sec. |
| Allchemy | 90 sec. |
| Atomwise | 120 sec. |
| Manus AI Agent | 180 sec. |
| Insilico Medicine (full process) | 21 days |
<aside>
Model: Llama‑3.3‑70B via Cerebras Cloud SDK
Chemistry: RDKit for structure validation & property calculation
Frontend: Streamlit
Concurrency: asyncio.gather (parallel agent calls, no sequential loops)
</aside>