AI RESEARCH INTERFACE
Human
Augmentation
for Scientists
A researcher looks and speaks. CaliSynax grounds what it sees against real chemistry, writes a permanent lab note, and hands verified compounds straight to Pharmaco-Net.
01 / WHY THIS EXISTS
The Handwritten Notebook Was Never Built for This
Most early-stage drug discovery still runs on paper, or on notes someone types up after the fact. Every hand-off between the bench and the computer is a place for the record to drift.
BEFORE
- A finding lives in one notebook, in one person's handwriting, until someone transcribes it, if anyone does.
- Getting a result into simulation software means retyping it by hand, and every retype is a chance to introduce an error.
- A page can be edited, torn out, or lost. Nothing proves it wasn't.
- Irreproducible early-stage results cost the life-sciences sector over $28 billion a year.
WITH CALISYNAX
- The glasses capture the observation as it happens. Nobody writes it down later, from memory.
- A verified compound goes straight to Pharmaco-Net. No retyping, no transcription step to get wrong.
- Every entry is hash-chained the moment it's written. Nothing about it can change afterward, by anyone.
- The record is independently checkable: against PubChem, against RCSB, against Pharmaco-Net, any time.
02 / HOW IT WORKS
Computation First, Then the Bench, Then the Record
Pharmaco-Net screens candidates and prior work before anyone picks up a pipette. What happens at the bench gets checked against that prediction before it's ever locked in.
FIG. 1 — CAPTURE-TO-NOTE PIPELINE
Check Prior Research
CaliSynax checks Pharmaco-Net and PubMed for existing work on this compound, so you know what's already been tried and what's left to improve.
Record Your Session
Just do the work. The glasses capture video and audio of the whole experiment — no extra steps.
Get Your Lab Note
CaliSynax hands back a finished, verified lab note and the original recording, ready to review or send to Pharmaco-Net.
SAMPLE OUTPUT
Session note
July 30 · A. Chen · 47 min recorded
Synthesized the candidate, then set the assay chamber to 24°C, 60% relative humidity, and a blue-light cycle matching the target's normal photoperiod. Read the compound against PubChem: aspirin, CID 2244, confirmed by InChIKey. Dosed the culture to induce the response and recorded the reaction through the session. Sent the compound to Pharmaco-Net for a binding affinity run against COX-2. Once the job finished, CaliSynax checked Pharmaco-Net for related prior runs before drafting this note. The job itself came back with a score of −8.2 kcal/mol at 88% model confidence.
- ASSAY ENVIRONMENT
- 24°C · 60% RH · blue-light cycleSet before dosing, matched to the target's photoperiod
- COMPOUND IDENTIFIED
- Aspirin · PubChem CID 2244Verified by InChIKey match
- PHARMACO-NET JOB
- Binding affinity · COX-2 · −8.2 kcal/mol88% model confidence
- PRIOR CONTEXT
- 2 related COX-2 runs foundRetrieved from Pharmaco-Net over MCP
TARGET STRUCTURE
PDB 1CX2 · Cyclooxygenase-2 (COX-2), the binding target
Every fact above traces back to a live PubChem or Pharmaco-Net lookup. Query Pharmaco-Net yourself through the same MCP connection this note used, any time.
03 / CONNECTED DISCOVERY
How CaliSynax Connects to Pharmaco-Net
CaliSynax is a research interface between natural observation and Calici's computational drug-discovery environment. Through MCP, that structured context moves into a workflow researchers can see and control.
- Context-aware research handoff
- Visible computational workflow
- Researcher-controlled execution
04 / CORE CAPABILITIES
Less Interface.
More Scientific Focus.
Hands-Free Research Capture
Capture visual context and spoken observations while keeping attention on the experiment.
Multimodal Research Analysis
Bring image and voice inputs together as interpretable scientific context.
Chemical Structure Processing
Translate observed compounds into machine-readable structural information.
AI-Generated Research Notes
Organize captured context into clear, structured scientific notes.
Visual AI Workflow
Make orchestration visible so researchers can inspect how steps connect.
Pharmaco-Net Integration
Connect structured research context to computational discovery modules through MCP.
06 / FOR SCIENTISTS
Built for the People Doing the Research
Pharmaceutical R&D Researchers
University Laboratories
Academic Researchers
Early-Stage Biotech Teams
Principal Investigators
Research Managers
THE VISION
What Researchers Observe
Becomes Structured
Scientific Data
CaliSynax turns natural scientific observation into structured, connected research you can act on.
07 / GET IN TOUCH
Have a question
about CaliSynax?
Reach out about research collaboration, field testing, or integration possibilities. Our team reviews every inquiry and replies by email.
info@calici.co