CHAPTER 7 · WHAT IT'S ALREADY WORTH
Six wins from one dataset
SCIKIQ's first pass over the synthetic PfS tenant — six CEO-grade moments most teams would have missed.
SITUATION TODAY
What the first pass actually found
We loaded the synthetic PfS tenant (6 programmes · 7 experiments · 13 results · 13 materials) and ran SCIKIQ's standard intelligence pipeline once. Six concrete artefacts emerged. Each is a moment that — at production scale — replicates every quarter across every programme. This is what the engine produces with no human prompt.
7 experiments · 13 results
Dataset size scanned
Synthetic PfS tenant · first pass
<8 minutes
Time to produce 6 artefacts
Standard pipeline · no tuning
~$700k
Hard $ saved in first pass
FALCON dup + HELIX NBE cycles
3
Risks surfaced
PFAS · SE-Asia · Prop 65
Quarterly · every programme
Replication frequency
At production scale
BENEFIT
Six CEO moments from one dataset · ~$4–6M / quarter at scale
The same engine, run quarterly across every programme, becomes the innovation flywheel
Duplicate detection · UC2
Skipped a FALCON trial that had been run three times before — caught at submission, not in lab.
▣ Composition embeddings + KG similarity match ≥0.91
$280k
9 days · 1 instrument-week
Sustainability flag · UC3
Found PFAS-restricted REL-FSI-101 still active in 4 formulations · 2 customer programmes.
▣ Material composition × REACH Annex XVII delta-feed
Risk avoided
Compliance + customer trust + reformulation lead-time
Next Best Experiment · UC1
Recommended HELIX-v1.4 composition · P(meet target) = 0.78 vs ~0.25 for trial-and-error.
▣ Bayesian opt + GP surrogate · 21-run prior
3 cycles
18 lab-days · $420k
Root cause · UC4
Pinned SE-Asia adhesive degradation to supplier batch L-2026-Q1-44 + Vietnam humidity profile.
▣ Multi-source correlation · LLM reasoning over KG paths
−35%
Field complaints forecast
KG pattern · UC2
Across all rPET + humidity wins, 5 of 7 used a rosin tackifier — a pattern no scientist had named.
▣ KG traversal + statistical lift over experiment outcomes
Onboarding
Faster new-hire ramp · institutional pattern preserved
Regulatory · UC6
Prop 65 substance restriction surfaced 90 days before enforcement · 12 SKUs notified.
▣ LLM-based regulation parser + impact graph back to formulations
90 days
Customer notification head start · $0 emergency reformulation
$700k+hard $ savedFALCON dup + NBE cycles · first pass
3risks avoidedPFAS · SE-Asia · Prop 65
6CEO momentsFrom one dataset · first pass
<8 minto find themStandard pipeline · no tuning
HOW IT WORKS
How the engine produces each kind of win
1
Scan + cluster
Composition embeddings cluster every formulation in the tenant. Any new submission compared to its cluster — duplicates and near-duplicates flagged automatically.
▣ Sentence-transformer + DBSCAN on composition vectors
→
2
Cross PfS × external feeds
Material composition joined nightly to REACH SVHC, FDA, ESPR, Prop 65. Hits flagged within hours of feed update.
▣ LLM-based regulation parser + KG join + impact propagation
→
3
Recommend the next move
Bayesian optimiser proposes the formulation most likely to hit spec. Posterior probability surfaced explicitly so the scientist can choose.
▣ BoTorch · GP surrogate · acquisition function with explicit uncertainty
→
4
Correlate across layers
Lab QC + plant MES + climate + supplier change-notice correlated end-to-end. Root cause appears as a single chain of evidence.
▣ Multi-source correlation ML + LLM reasoning over KG paths
BEFORE / AFTER
First-pass synthetic tenant vs production scale (quarterly)
| Dimension | Today | With SCIKIQ + Thermo | Δ |
|---|---|---|---|
| Programmes scanned | 6 (synthetic) | All AD programmes | ×N |
| Hard $ surfaced | $700k | ~$4–6M / quarter | ×8 |
| Risks pre-empted | 3 | ~15 / quarter | ×5 |
| Time scientists spend | 0 min | 0 min | Same |
WHO WINS
"Six artefacts I would normally hear about weeks too late — and they came from a synthetic tenant. At production scale, this is the quarterly innovation flywheel."
— CEO Deon Stander · Office of the CEO
⚠ IF WE DON'T
Cost of NOT running this engine quarterly
- $4–6M / quarter of these wins simply don't get found · they happen as 'should have known' moments months later
- Regulatory surprises arrive at enforcement, not 90 days early
- Duplicate research continues at the current ~120 trials/yr rate
- Tribal patterns (e.g. rosin tackifier in rPET+humidity wins) walk out with retiring scientists
6CEO momentsFirst pass · synthetic tenant
$700khard $Saved in <8 min
3risksAvoided · PFAS · SE-Asia · Prop 65
×8at scaleVs first-pass · quarterly cadence
Each one is a moment that gets a CEO's attention. Avery has six of them sitting in one dataset. The same engine, run quarterly across every programme, becomes the innovation flywheel.
One dataset · 8 minutes · 6 CEO moments. Now imagine it run quarterly.
AI / ML / LLM IN THIS CHAPTER
DATA SOURCES