What Leading R&D Organizations Are Building Now
What distinguishes a modern R&D data foundation from a set of digitized silos, and how to build a future-proof lab.
The Uncountable Platform & Solutions Overview
Uncountable is a connected platform for R&D, quality, project & innovation management, and product lifecycle management. It unifies these functions on a single structured data model, so a change in the lab reaches specs, regulatory docs, and production without anyone re-entering it.
| Goal | Lower | Upper | Result |
|---|---|---|---|
| Gloss 60° (GU) | 82.0 | 92.0 | 87.4 |
| Adhesion (MPa) | 4.5 | N/A | 5.8 |
| VOC (g/L) | N/A | 250 | 198 |
| ΔE @ 2500h | N/A | 8.0 | 7.1 |
| Viscosity (cP) | 900 | 1400 | 1120 |
| ID | Gloss |
|---|---|
| EXP-4412 | 87.4 |
| EXP-4408 | 85.1 |
| EXP-4399 | 88.9 |
| ID | Status |
|---|---|
| LR-2291 | Done |
| LR-2301 | Open |
| LR-2304 | Open |
| Document | State |
|---|---|
| TDS 40-B | Current |
| SDS 40-B | Current |
| Batch Record | Approved |
| ID | Phase |
|---|---|
| PRD-118 | Released |
| PRD-119 | Pending |
| PRD-104 | Released |
| Number | Title | Format | State |
|---|---|---|---|
| NB-1042 | Gen 3 Programme Dashboard | Dashboard | Current |
| NB-1043 | Batch Record 40B-221 | Document | Approved |
| NB-1067 | Gate 3 Readout | Presentation | Draft |
EXP-4381 came back at 78.9 GU against a lower goal of 82.0 GU. The two experiments before it used lot LOT-7712 of Filler A, whose incoming record lists a d50 of 14.2 µm against a 9 to 12 µm range.
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Proven at global scale
Uncountable's Connected Platform
Structure first, AI second. Every formulation, result, and instrument reading lives on one record, so a change in the lab flows straight through to production.
Why Uncountable?
Put an end to working across multiple, siloed systems with a single platform for all of your product data.
All product data is centralized, structured, and searchable across the full lifecycle, so nothing is orphaned in a spreadsheet or a scientist's notebook.
One structured record, from raw material to shipped product. No orphaned spreadsheets, no scientist’s notebook.
| Ingredient | Lot | COA |
|---|---|---|
| Resin XP-40 | RS-2231 | Linked |
| Solvent MEK | MK-8890 | Pending |
| Additive AD-12 | AD-0455 | Linked |
| Pigment P-Black | PB-3120 | Linked |
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Illustrative UI: one structured experiment record, from raw materials to results, audit-ready by default
Uncountable replaces point solutions with one platform, configured to your real workflows instead of forcing you into someone else's.
| Experiment | Phase | Tensile | Status | Owner |
|---|---|---|---|---|
| SR-2418 | Validation | 24.1 | In spec | A. Idris |
| SR-2416 | Scale-up | 23.6 | In spec | M. Fry |
| SR-2413 | Validation | 25.9 | Out of spec | L. Ortiz |
| SR-2409 | Formulation | 23.9 | In spec | J. Park |
| Record | Type | Status | Owner |
|---|---|---|---|
| DV-092 | Deviation | Open | A. Idris |
| CR-118 | Change request | In review | L. Ortiz |
| DV-088 | Deviation | Open | M. Fry |
| DV-081 | Deviation | Closed | J. Park |
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Illustrative UI: one program whiteboard, tiles and charts bound to the same live filters
Because every record is connected, Bodie and Uncountable's predictive tools act on your real data, not a summary of it.
| Candidate | Gloss | VOC | Conf. | Spec |
|---|---|---|---|---|
| EXP-C-0412 | 91.2 | 38.4 | 0.94 | Meets spec |
| EXP-C-0418 | 93.6 | 47.9 | 0.88 | Near VOC limit |
| EXP-C-0407 | 86.9 | 33.1 | 0.91 | Meets spec |
| EXP-C-0421 | 95.1 | 52.6 | 0.72 | Out of spec |
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Illustrative UI: Bodie and predictive analytics reading the same connected record, not a separate tool
SPC dashboards, ANOVA analysis, and Cpk reporting update the moment new data lands, so nobody rebuilds charts in a spreadsheet.
| Line | n | Mean | Cpk | Pp |
|---|---|---|---|---|
| EXT-01 | 142 | 21.9 | 1.76 | 1.80 |
| EXT-02 | 143 | 22.3 | 1.21 | 1.31 |
| EXT-03 | 142 | 22.0 | 1.55 | 1.55 |
MFI 25.9 g/10min on TS-88431 is above the upper 3σ limit (25.4). The 7-point trend rule fired on the same line 40 min earlier.
Two of the last three samples sit beyond the lower 2σ limit. Cpk for the line fell from 1.68 to 1.55 in 24h.
| Equipment (Line) | 38.4% (p<0.001) |
| Raw Material Lot | 25.8% (p<0.001) |
| Barrel Temperature | 12.3% (p<0.001) |
| Shift | 2.7% (p=0.149) |
| Sample | Line | MFI | Status |
|---|---|---|---|
| TS-88431 | EXT-02 | 25.9 | Out of spec |
| TS-88402 | EXT-02 | 25.4 | Marginal |
| TS-88310 | EXT-01 | 21.8 | In spec |
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Illustrative UI: control chart and alerts render live, no export, no rebuild
Uncountable's End-to-End Platform
Beyond single products and suites, take the full Uncountable platform: every product connected on one record, from first experiment to shipped product.
Uncountable's Product Suites
Take a whole suite, several suites bundled together, or just the individual products inside them. Every combination runs on the same data model, so you can start narrow and expand later without re-platforming.
One structured record for formulation, process, and results, ready for DOE and predictive ML.
Sample tracking, workflow automation, testing, SPC, Cpk, & compliance in one connected record, from intake to COA.
Solves: QC teams stuck with manual, redundant data entry, who need results tied to the batch and formulation that produced them.
Formulation management, experiment design, and DOE, with AI/ML built in for predictive formulation.
Solves: R&D teams juggling spreadsheets and paper notebooks, who need a searchable, auditable record of every experiment they run.
A formulation-native record type for building and iterating on recipes directly, distinct from the ELN's general notebook capture.
Solves: R&D formulators keeping recipes in spreadsheets beside the notebook, who need the formulation itself to be the record that BOMs, QC specs, and production reference later.
Statistical, multi-variable test planning that aims for the most learning from the fewest experiments, with Bodie explaining the model behind each design.
Solves: R&D teams testing one variable at a time, who need to hit target properties in far fewer experiments and understand why the model recommends what it does.
Every lot tracked against its material record and its place in the location hierarchy, with on-hand quantities that roll up at each level.
Solves: R&D labs hunting for material across spreadsheets and cabinets, who need to know which lot is on hand, where it sits, and when to reorder before an experiment stalls.
QC & governance at scale, from testing samples off the line to CAPA and audit-ready compliance.
Every quality process in one system, CAPAs and audits, deviations, change control, SOPs, audits, training, and supplier qualification.
Solves: Quality teams with CAPAs in a separate system and processes that aren't standardized across sites or tied to the record.
Samples come off the line, get tested in the lab, and every result is logged, searchable, and flagged in or out of spec as it lands.
Solves: QC teams running the lab out of an ERP or spreadsheets, who lose retest history on every retest, rebuild COAs by hand, and need an out-of-spec result to raise a deviation on its own.
Document and SOP control as a product of its own, versioned end to end, with a version tree behind every controlled document.
Solves: Quality teams keeping SOPs and controlled documents on shared drives, who need every version, redline, and approval on the record instead of in email.
Investigations that read from the formulation revision, batch record, raw-material lots, and test data behind the failure, not from a standalone RCA document.
Solves: Quality teams writing RCAs in standalone documents, who need the investigation to sit on the data that produced the failure and carry through to the CAPA that closes it.
Control limits and Cpk computed live from the stable, in-control baseline as results are entered, not exported to a stats package after the fact.
Solves: Quality teams exporting results to a stats package to find out a process drifted, who need control limits and Cpk to move the moment a result is entered.
Supplier quality records and qualification status kept on the same platform as the incoming material and test results they relate to.
Solves: Quality teams tracking supplier qualification in spreadsheets, who need a supplier's status and history alongside the material lots and results that came from them.
Formulation to launch in one system, carrying the R&D record into production with versioned BOMs.
The same structured, versioned control given to every other document, applied to BOMs: R&D Formulation builds the record, QC Specifications reference it, the Product Record links back, and the ERP syncs unit cost.
Solves: Product teams rebuilding BOMs and margin math in spreadsheets, who need one versioned recipe that the lab, QC, and the ERP all read from.
Find the overlap across the portfolio: near-duplicate SKUs, formulas that differ by a rounding error, and ingredients carried for a single product.
Solves: Product teams carrying a portfolio that grew by accident, who need to know which SKUs, formulas, and ingredients can go without breaking a product that still ships.
Suppliers and vendors registered once and carried through the lifecycle, from onboarding to the ingredients, BOMs, and costs that depend on them.
Solves: Product and sourcing teams keeping vendor detail in procurement's system and the lab's spreadsheet, who need one supplier record that the BOM, its cost, and the quality history all hang off.
A regulations database that checks recipe and ingredient data against jurisdictional limits, with compliance flagged on the ingredient rows themselves.
Solves: Regulatory and product teams re-checking formulations against changing rules by hand, who need every ingredient row to carry its own compliance status per jurisdiction.
Profile, screen, measure, and trace where a material is used, all on the formulation record itself, feeding the digital product passport rather than standing in for it.
Solves: Product teams committing to recycled and bio content without knowing what it costs, who need the trade-off on the formulation record and the numbers ready for the passport.
Stage-gates, prioritization, and resource capacity across the product portfolio: what to launch, how to resource it, and how it tracks to market.
Solves: Product and innovation leaders deciding which launches to back, who need gate status, cost, and regulatory readiness in one view instead of three.
Stage-gates, prioritization, and resource planning for the portfolio behind every record.
Stage-gates, prioritization, and resource capacity across the whole portfolio: what to fund, who runs it, and how every project is tracking.
Solves: Portfolio leaders running gate reviews off slide decks, who need scoring, capacity, forecast, and the data behind every go or kill decision in one place.
The stage-gate workflow itself: scope the work, define the gates it has to clear, and route it to whoever owns the next step.
Solves: Project teams chasing gate approvals over email, who need the stage a project sits in, and what it takes to leave it, visible on the project.
A front door for incoming work: requests arrive through one intake and get routed to the team that owns them.
Solves: Teams taking project requests by email and hallway conversation, who need one intake with a clear owner and a status the requester can see.
The same versioned document control the Quality suite runs on, pointed at project work: every brief, report, and deliverable held against the project it belongs to.
Solves: Project teams hunting across drives and inboxes for the current version of a brief or report, who need project documents controlled the same way quality documents already are.
The front of the funnel: ideas captured wherever they come from, routed for review, and promoted into the portfolio once they are worth funding.
Solves: Innovation teams losing good ideas to inboxes and workshop whiteboards, who need one place where an idea is captured, reviewed, and either funded or parked with a reason.
Uncountable Platform Architecture
How AI, your native product systems, and external data all connect through one unified platform.
Connected to the systems you run
Uncountable sits at the center of your product data, with a comprehensive API and integration layer connecting the systems around it.
Direct instrument sync
Bidirectional sync
Bulk ingestion & export
Document & intake sync
Old way vs. new way
| When this happens | Without Uncountable | With Uncountable |
|---|---|---|
| A formulation changes in R&D | ||
| A batch fails a quality test | ||
| An auditor asks for full traceability | ||
| The company decides to add the Quality suite |
Business outcomes
Cut the 15 to 25% of team capacity, and the $50K to $200K a year, spent reconciling 3 to 4 disconnected systems.
AI-guided formulation optimization reduces material costs and avoids costly rework by catching issues earlier in R&D.
A shorter path from lab to launch gets new products to market faster, ahead of competitors still reconciling spreadsheets.
Freed-up team capacity means more products developed and more projects taken on each year.
Full traceability from raw material to customer narrows the scope of any recall and cuts audit prep from weeks to hours.
API-first, cloud-native, and LLM-ready as technology evolves.
Security & compliance
Independently audited, with your data isolated per customer, encrypted in transit and at rest, and covered by a complete audit trail.
Guides & resources
Practical guides on R&D, PLM, quality, and portfolio management, written for teams evaluating a connected platform.
What distinguishes a modern R&D data foundation from a set of digitized silos, and how to build a future-proof lab.
How manufacturers move a product from first concept to production without re-entering the same data at every handoff.
Where a quality management system goes further than inspection and testing, across deviations, CAPA, audits, and change control.
Turn routine batch and inspection results into trend data your quality and production teams can actually act on.
The reconciliation tax
Managing one system is easier than managing four or more. See what a connected alternative looks like, built for R&D, quality, project, manufacturing, and product, on your own data.
Frequently asked questions
Uncountable supports 21 CFR Part 11, EU Annex 11, GxP, HIPAA, and GDPR requirements, and is independently audited to SOC 2 Type II and ISO 27001 standards. Customer data is isolated per organization and encrypted in transit and at rest.
Implementation timelines vary by scope. Clariant deployed Uncountable to 900 users across their organization in 9 months, and Jotun retired six legacy point solutions across eight countries during its rollout. A single-product deployment is typically faster than a full-platform rollout.
Uncountable's AI layer, including its assistant Bodie, runs on top of the platform's structured data rather than as a separate tool. Because formulations, test results, and process data already live in one connected model, the AI can analyze data, optimize formulations, recommend next experiments, and answer natural-language questions across R&D, quality, and PLM.
Traditional LIMS, ELN, QMS, and PLM tools are typically separate systems that require custom integrations to share data. Uncountable replaces that stack with one platform and one data model, so information entered once, a formulation, a batch result, a specification, is automatically available everywhere it's needed, without manual syncing or point-to-point integrations.
Is this the right fit?
Supporting industries, worldwide
Get started
Request a demo and we'll show you how R&D, quality, and PLM look connected instead of stitched together.