Where demand lives, where supply can meet it
Our read of the market across all companies and use cases mapped so far — web research, reports, and first-party conversations together. Demand is what the market needs; supply is where our roadmap is. The gap is where high demand meets a capability we can't yet ship.
Internal brief: where the demand actually concentrates
The lead. The corpus collapses into two tasks that recur far more than the company count suggests. One is *"place deformable/fragile food into a compartmented tray to a presentation spec"* — most of our 110 soft-body cases, and a task we can build now (works_in_demos, ~3mo). The other is *"de-nest fragile filled glass and assemble it into a device"* — the pharma fill-finish/autoinjector cluster, which carries the strong demand and the recall-grade failure cost, but needs primitives we can't yet build. The decision that matters: whether to pull rigid_insertion and press_fitting forward off their 6–12-month horizon to reach that second cluster, or ride the buildable food wedge for breadth.
What's jumping out:
- The most-reused task in the whole dossier is meal-tray plating. The *same* deformable-food-into-tray task appears at all 10 airline caterers (dnata, DO&CO, EKFC, Flying Food, Gate Gourmet, LSG, Newrest, SATS, Servair, TajSATS), across fresh-prepared (Bakkavor, Greencore, Hearthside, Premium Brands, Fresh & Ready) and contract dining (Aramark, Sodexo, Compass). One capability, 30+ buyers, already in demos. This is the breadth play.
- The build-next gap is the autoinjector. *"Insert prefilled glass syringe into autoinjector, snap/press housing closed"* is described in near-identical terms by Bayer, GSK, Merck, Lilly, Pfizer, Takeda, AbbVie, Roche, Sanofi, Novartis, AstraZeneca and J&J — with its twin, *fragile-glass-vial de-nesting*, in literally every pharma entry. This is the densest high-tactile + strong-demand pocket, and it sits on rigid_insertion + press_fitting (early_experiments). snap_fit is already in demos, so we're partway there.
- Deep vs. wide. sterile_fill_finish is deep — 4 companies, 6 strong, and the *only* two validated signals we hold. cell_gene_therapy is small but uniformly high-tactile and surfaces a third distinct recurring task: sterile tubing/connector mating (AZ, BMS, Novartis). contract_dining is wide-but-shallow — 10 companies, mostly weak and inferred, no named programs.
- Honesty, plainly: of 149 cases only 2 are customer-validated, both Lilly, and both are the *low-tactile, forgiving* tasks (cooler-box depal, tub handling) — not the high-tactile core our whole thesis rests on.
What to go confirm:
- Lilly's door is open on tub/cooler handling — will that same relationship confirm appetite for the high-tactile syringe-into-autoinjector step we scored "strong" but never validated?
- Is the autoinjector task truly one reusable part across the 12 pharma names, or does prefilled-syringe shoulder-geometry variability fragment it per customer?
- In food, which of the named programs (gategroup/ABB, SATS Jurong, Newrest Montreal, Aramark RoboEatz) are displaceable vs. already served?
- Will pharma actually buy a flexible cell where dedicated high-speed assembly already exists?
Generated 1 day ago · 2 of 149 use cases validated
Demand by primitive vs. our supply
| Primitive | Demand | Strong / Promising / Weak | Companies | Our supply | Horizon |
|---|---|---|---|---|---|
| Soft-body handling | 110 use cases | 50 | 10 / 42 / 56 | Works in demos | ~3 months |
| Rigid insertion | 41 use cases | 22 | 8 / 17 / 16 | Early experiments | ~6 months |
| Press-fitting | 31 use cases | 20 | 6 / 13 / 12 | Early experiments | ~12 months |
| Snap-fit closure | 26 use cases | 20 | 4 / 11 / 10 | Works in demos | ~3 months |
| Cable routing | 13 use cases | 11 | 2 / 5 / 6 | Works in demos | ~6 months |
Demand is almost entirely inferred from research today; the "validated" column shows how much is confirmed first-party. A high demand count on an early-experiments or not-on-roadmap supply state is where the team's next focus likely earns the most.
Focus map — demand vs. our readiness
Each bubble is a primitive; size is how many companies show that demand. Up = more demand. Right = more ready to build. Top-right is land-now; top-left is build-next (high demand we can't yet ship).
Where demand lives, by industry
| Industry | Companies | Use cases | Strong / Promising / Weak | Fit (Exc/Strong/Mod/Weak/Poor) |
|---|---|---|---|---|
| food packaging | 35 | 86 | 6 / 29 / 51 | 0 / 11 / 17 / 6 / 1 |
| pharma lab | 14 | 35 | 6 / 20 / 7 | 0 / 3 / 9 / 0 / 0 |
| medical device | 8 | 11 | 4 / 4 / 3 | 0 / 0 / 1 / 0 / 0 |
| cpg cosmetics | 2 | 5 | 0 / 1 / 4 | 0 / 0 / 0 / 2 / 0 |
| other | 2 | 4 | 0 / 1 / 3 | 0 / 0 / 1 / 2 / 2 |
| automotive | 1 | 3 | 0 / 1 / 2 | 0 / 0 / 1 / 0 / 0 |
| 3c final assembly | 2 | 3 | 0 / 0 / 3 | 0 / 0 / 0 / 1 / 0 |
| textile garment | 1 | 1 | 0 / 0 / 1 | 0 / 0 / 0 / 0 / 0 |
| agriculture | 1 | 1 | 1 / 0 / 0 | 0 / 0 / 0 / 0 / 0 |