Now in early access

Stop repeating
failed experiments.

Synes helps researchers learn from prior experimental attempts and design better experiments faster.

Try Synes See how it works →
app.synes.io / experiments
Synes
Workspace
Experiments
History
Parameters
Analytics
Discovery
Search
Insights
3 NEW INSIGHTS
Pattern detected in
pH trials
Experiment Log
All
Completed
Failed
Running
ID Experiment Outcome pH Temp (°C) Yield Trend
#EX-041 Protein folding — buffer B Success 7.4 37° 82%
#EX-040 Protein folding — buffer A Failed 6.8 37° 18%
#EX-039 Cell culture — substrate C Partial 7.0 35° 54%
#EX-038 CRISPR edit — target locus 7 Failed 7.2 37° 9%
#EX-037 Enzyme assay — variant D Running 7.5 38° —
Experiment Insights
Success Rate
34%
+12% vs last 30 days
Parameter Comparison
pH level 7.4 optimal
Temperature 37°C range
Buffer conc. 50 mM
Incubation 24 hr
Pattern Detected
Experiments with pH > 7.2 at 37°C show 3.4× higher yield in protein folding trials.
Similar Experiments Found
12
Across 4 research groups
The Problem

Most experimental knowledge is lost.

Failed experiments rarely make it into publications. As a result, researchers across labs unknowingly repeat the same unsuccessful approaches — wasting time, resources, and momentum.

50–70% of experiments yield negative results that go unreported
Lab notebooks stay siloed, never searchable across teams
Redundant work costs the research sector billions annually
Exp #EX-027
Protocol: A-variant
pH: 6.5
Yield: 11%
Failed — not published
Lab Notebook — 2022
Condition: Low temp
Result: Inconclusive
Unpublished
Exp #EX-031
Buffer: PBS
pH: 6.8
Yield: 8%
Failed — not published
Exp #EX-019
Team: Lab B
Same params as #027
Repeated failure
Pilot Study — Q3
Approach: A-variant
Outcome: Failed
Internal only
↻ Same approach tried again — unknown to researchers
The Solution

Turn experimental history into discovery signal.

Synes captures experimental attempts in a structured format and makes them searchable across similar research contexts — turning dead ends into direction.

Structured experiment database
Every attempt logged with parameters, outcomes, and metadata
Semantic search across experiments
Find related work by condition, parameter range, or research goal
Pattern-driven insights
Surface hidden signals across failed and partial experiments
protein folding pH 6.5 – 7.0 buffer
Search
Filters:
pH: 6.5–7.5
Any outcome
2020–2025
14 experiments found across 6 datasets
Protein fold B — buffer PBS, pH 7.4
98% match
Outcome: Success (82% yield) Temp: 37°C Group: Lab A
Protein fold A — acetate buffer, pH 6.8
74% match
Outcome: Failed (18% yield) Temp: 37°C Group: Lab A
Fold variant — MES buffer, pH 6.5
61% match
Outcome: Partial (54%) Temp: 35°C Group: Lab C
Synes Insight
pH > 7.2 correlates with 3.4× higher yield across all matched experiments. Consider PBS buffer at 7.4.
How It Works

Three steps to smarter experiments.

1
Log experiments
Capture experimental inputs, parameters, and outcomes in a structured, searchable format.
Exp #EX-042 pH 7.4
Buffer: PBS 50 mM
Outcome logged 82% yield
2
Search similar experiments
Find related experiments across datasets by condition, parameter range, or research goal.
protein fold pH 6.5–7.5 …
✓ #EX-041 — pH 7.4, 82% yield (98% match)
#EX-040 — pH 6.8, failed (74% match)
14 experiments found across 6 datasets
3
Design better experiments
Learn from prior attempts to avoid redundant work and focus resources on high-yield conditions.
Recommendation: Use PBS at pH 7.4
Avoid: Acetate buffer pH < 7.0 (3× failure rate)
Next step: Vary temp 36–38°C
Get Started Free Try the Demo
Who It's For

Built for the people doing the science.

Synes fits the way research actually works — from academic discovery to commercial development.

🔬
Academic Research Labs
Stop repeating work across rotations. Give every student and postdoc access to the lab's full experimental history before they design their next run.
Universities
Core facilities
PI labs
🧬
Biotech Startups
Move faster with a full record of what's been tried. Reduce costly iteration cycles and focus R&D effort where it actually compounds.
Drug discovery
Genomics
Diagnostics
📊
Scientific Discovery Teams
Connect experimental knowledge across teams and time. Surface patterns that no single researcher could see from inside their own dataset.
Pharma R&D
Materials science
Agri-tech

Build better experiments faster.

Start exploring experimental knowledge with Synes.

Get Early Access See how it works →