COSMIC is a co-formulator: it gathers every relevant data point - INCI regulatory, botanical pathways, peptide stability, HLB/HLD, microbiome, claims - and proposes a complete picture to the formulator, who keeps full control of the decision. The expert validates and signs off in minutes instead of spending days on database lookups, supplier round-trips, and spreadsheet juggling.
Six tools, one pipeline. Each step shows the traditional workflow side-by-side with COSMIC, with honest ranges for both junior (0-3 years) and senior (5+ years) formulators. The total counter at the top updates as you scroll through.
Step 1
INCI Explorer
Single-INCI deep dive — function, regulatory, suppliers
Time saved this step
23h
TTM days saved
2d
Purpose
Research one INCI ingredient — function, regulatory status, max use levels, compatibilities, supplier options.
Time saved vs Traditional21h – 26h
Traditional
effective cost
Hours
21h – 26h
Sub-task
Time
Search CosIng database
8 min
Search supplier TDS / specs
20 min
Cross-check REACH on ECHA CHEM
45 min
Read SCCS opinion if applicable
60 min
Internal catalog + colleague consult
40 min
Per-INCI subtotal × 8 INCIs
23h
With COSMIC
✓ saving
Hours
15min – 30min
↧Bundled into: 1 COSMIC INCI Explorer query
Sub-task
Time
Search CosIng database
incl.
Search supplier TDS / specs
incl.
Cross-check REACH on ECHA CHEM
incl.
Read SCCS opinion if applicable
incl.
Internal catalog + colleague consult
incl.
Per-INCI subtotal × 8 INCIs
25 min
What COSMIC delivers hereclick to expandclick to collapse
Features used
Joined CosIng + REACH/ECHA + SCCS opinions in one query
Compatibility flags + ontological class + HLB / pKa
Supplier options surfaced from internal catalog
Data the formulator gets
Function (CosIng) + canonical role tag (15 categories)
EU Annex status + max % rinse-off / leave-on / oral
REACH registration + ECHA dossier links
SCCS opinion ref + restricted conditions
PubChem CID, SMILES, MW, XLogP, TPSA, pKa
HLB (Davies / Rule-of-Mixtures), Hansen δD/δP/δH
Function tags (15 canonical roles), allergen / GHS flags
Manually consolidating CosIng, ECHA REACH dossiers, SCCS opinions, and supplier TDS for one INCI is mostly tab-switching. INCI Explorer returns the joined record in one query, with the regulatory annex, max %, REACH status and supplier matches inline.
Geographic distribution (countries grouped by continent)
LOTUS / COCONUT cross-link, supplier matches
Time saved this step
15h saved · 97% faster
Traditional
15h
With COSMIC
30min
Botanical work is mostly waiting on suppliers. The Botanical Explorer skips the round-trip: INCI mapped to genus/species, active markers pre-resolved to compound IDs, and supplier matches with claim references in one place.
Peptide selection is bottlenecked by clinical-dose research and stability checks. Peptide Explorer pre-resolves sequence, mechanism, validated dose range and the formulation guard-rails (pH bands, oxidative incompatibilities) so the formulator only validates, not researches.
Designing an emulsion from scratch eats lab time on type validation. Emulsion Design proposes the phase architecture and the surfactant blend up-front, so the lab work shifts from "will it emulsify?" to focused stability checks.
Step 5
HLB / HLD Calculator
Required HLB + HLD parameters
Time saved this step
6.8h
TTM days saved
1d
Purpose
Calculate required HLB of the oil phase OR HLD for surfactant systems.
Time saved vs Traditional5.6h – 7.9h
Traditional
effective cost
Hours
6.0h – 8.0h
Sub-task
Time
Manual Excel HLB calc per oil component
2h
HLD parameter lookup (Cc, T, EACN values)
2h
Iteration with formulation
3h
With COSMIC
✓ saving
Hours
9min – 24min
↧Bundled into: 1 COSMIC HLB / HLD step
Sub-task
Time
Manual Excel HLB calc per oil component
incl.
HLD parameter lookup (Cc, T, EACN values)
incl.
Iteration with formulation
incl.
What COSMIC delivers hereclick to expandclick to collapse
Features used
Auto-fetch HLB values from INCI database (Davies + Rule-of-Mixtures fallback)
HLD parameters pre-stored for common surfactant systems
Real-time recalculation as the formula changes
Data the formulator gets
Required HLB of the oil phase (auto-pulled per component)
Live recalculation as the formula composition changes
Time saved this step
6.8h saved · 96% faster
Traditional
7.0h
With COSMIC
15min
Required HLB is a calculation, but it's a tedious one when oils have to be looked up one by one. HLB/HLD pulls each component's HLB from the catalog (or predicts it via Davies / Rule-of-Mixtures), and recalculates live as the formula moves.
Step 6
Coformulator
Brief → ranked formula + 11-engine assessment
Time saved this step
26h
TTM days saved
5d
Tip: numbers above reflect the "Start from zero" flow. Cloning has its own row below.
Purpose
Generate full formula draft from a brief.
Time saved vs Traditional20h – 33h
Traditional
effective cost
Hours
30h – 40h
Sub-task
Time
Concept ideation + benchmark survey
6h
First draft formulation
4h
Iteration with assessment (pH, stability, regulatory)
Auditable claims dossier + token-cost ledger on export
Time saved this step
26h saved · 76% faster
Traditional
34h
With COSMIC
8.0h
Coformulator is exactly that — a CO-formulator. It returns the complete knowledge stack (composition, regulatory, safety, stability, microbiome, claims) for the human formulator to validate and decide. The expert keeps control; COSMIC removes the hours spent gathering and cross-referencing data.
Step 7
Cloning Formulator
Reverse-engineer a benchmark into a defensible formula
Time saved this step
37h
TTM days saved
8d
Purpose
Reverse-engineer a benchmark product into a defensible formulation.
11-engine assessment on the cloned formula (same as Coformulator)
Time saved this step
37h saved · 79% faster
Traditional
46h
With COSMIC
9.5h
Cloning a benchmark is mostly guessing concentrations and chasing texture matches in the lab. Cloning Formulator estimates concentrations from a similar-formulas ML model and pre-validates compatibility on a GNN, so the lab work compresses to focused validation.
Step 8
Odor Control
Deodorant effectiveness — does this mix actually neutralize body odor?
Time saved this step
19h
TTM days saved
7d
Purpose
Evaluate whether a deodorant / odor-control mix is effective: which body-odor pathways it covers (thiol, SCFA, steroid, lipase, urease), per-organism log-reduction, and where the formula is weak.
Time saved vs Traditional14h – 26h
Traditional
effective cost
Hours
20h – 30h
Sub-task
Time
Literature review on body-odor pathways
4h
Map active candidates to pathways (alcohols, AMPs, enzyme inhibitors, fragrance maskers)
4h
Design preservation + antimicrobial system for axilla microbiome
4h
Lab challenge / panel / instrumental odor testing
5d
Iterate to converge on an effective mix
2d
With COSMIC
✓ saving
Hours
4.0h – 6.0h
↧Bundled into: 1 COSMIC Odor Control assessment (5 pathways + 8 organisms + ISO 11930 pre-screen)
Sub-task
Time
Literature review on body-odor pathways
incl.
Map active candidates to pathways
incl.
Design preservation + antimicrobial system for axilla microbiome
incl.
Lab challenge / panel testing — focused validation only
1d
Iterate to converge — focused only
4h
What COSMIC delivers hereclick to expandclick to collapse
Asking 'will this deodorant mix work?' traditionally means a literature scan on body-odor pathways, then panel testing or instrumental odor measurement, then iterating. COSMIC's Odor Control assessment scores the formula against each odor pathway deterministically and tells the formulator exactly where the mix is weak before any panel — so iteration converges in a fraction of the time.
Numbers are honest mid-range estimates for B2B cosmetic formulation work. Each side cites specific sub-tasks; the COSMIC values reflect features actually shipped in the product.