Venture package and product briefs
Idea, market, moat, AI architecture, roadmap, pricing and five product briefs with NVIDIA stack. SUCCEEDED
Release line
Every release that can touch a line, written down before it ships.
Pildeon is pre-launch, so this page is the release line rather than a history: what is built, what is in progress and what is next, with the gate each item has to clear. When releases ship, they will be recorded here with the same honesty.
Scenario: Run one immediate-release tablet batch through granulation, compression, coating and inspection inside the approved design space, with QA approval before release. A design walkthrough, not a customer record.
Release line
What is built, in progress and next
From the roadmap. Status chips are honest: queued means not started.
Brand, domain and this site
pildeon.com, the punch-tablet-punch mark, the design tokens and the site you are reading. SUCCEEDED
MVP: connectors, agent loop, review console, Part 11 audit log
Read-only connectors for the wedge, the constrained agent loop, the QA review console and the validated audit log. RUNNING
Design partners in shadow mode
Three to five pharma or CDMO sites instrumenting one wedge workflow with baselines captured. QUEUED
Security and validation baseline
SOC 2 Type I and a GAMP 5 validation package in progress; IP-safe deployment. QUEUED
Paid validated pilots and graduated autonomy
Convert design partners on written metrics; bounded autonomy for low-risk compression, coating and inspection loops; Twindra hit-quality-before-run. QUEUED
Second module per plant, SOC 2 Type II, SSO and RBAC
Deepen integrations, add adjacent modules, enterprise identity, GMP and continuous-manufacturing assurance packages. QUEUED
The full blend to inspect loop, multi-site, OEM channel
Own the loop end to end, multi-segment go-to-market, equipment-OEM and MES-vendor channel, data-network products as premium tiers. QUEUED
The autonomous operations layer for OSD
Platform and API ecosystem, adjacent scopes from dispensing to serialisation, every tablet and capsule released on Pildeon. QUEUED
Run timeline · scenario
The reference run, per release
Every release is checked against this scenario run on the twin harness before it is promoted. The run record is the regression test.
run_b2c7e1
Line 2 · rotary tablet press · scenario
SUCCEEDED
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01
ingest.batch_record
SUCCEEDED
1.2 s
Plant Orchestrator · Pulled the master batch record, the approved design-space limits for this formulation and tooling family, and the site autonomy policy from MES; locked the target envelope for the run.
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02
twin.rehearse
SUCCEEDED
41 s
Plant Orchestrator · Twindra simulated 36 candidate setpoint vectors on the as-made batch twin (granulation DEM, compression and ejection risk, coating CFD, dissolution surrogate) and ranked them on predicted content uniformity, capping risk and takt.
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03
blend.uniformity
SUCCEEDED
6 m 10 s
Blend-and-Dispense · Spectryn scored in-line NIR spectra against the formulation's chemometric model; the blend reached its uniformity end point with confidence bounds inside the site acceptance limit and blending stopped on evidence rather than on a fixed time.
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04
granulate.dry
SUCCEEDED
3 m 48 s
Granulate-and-Dry · Inlet air temperature and drying airflow trimmed inside the approved window to bring loss-on-drying to the target moisture band for compression; the move was bounded, logged and inside the design space.
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05
compress.press
SUCCEEDED
2 m 02 s
Compress-and-Fill · Main compression force and feed-frame speed adjusted inside the approved window to hold tablet weight and hardness on target while the twin's capping-risk estimate stayed under the site threshold.
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06
coat.spray
SUCCEEDED
4 m 25 s
Coat-and-Dry · Spray rate and inlet temperature re-phased against bed temperature and exhaust humidity to hold the film-coat window and avoid twinning and mottling; no excursion from the validated recipe envelope.
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07
inspect.tablets
SUCCEEDED
continuous
Defect-and-Inspect · Visqa classified chips, cracks, capping, spots, mottling and print defects on six synchronised cameras, within the sub-100 ms design budget, and linked a rising chip rate to coating spray rather than to tooling.
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08
spectra.release_evidence
SUCCEEDED
38 s
Quality-and-Potency · Spectryn assembled the method-linked evidence chain for content uniformity and moisture with confidence bounds and citations to the validated analytical method, ready for QA review.
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09
approve.qa
APPROVAL
3 m 14 s
Plant Orchestrator · Batch release is above every autonomy level Pildeon offers. The package was held for the named QA reviewer, who approved it in the review console; the decision, the reviewer identity and the timestamp are in the Part 11 audit trail.
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10
release.genealogy
SUCCEEDED
52 s
Quality-and-Conformance · Conforma wrote the time-aligned batch genealogy (every sensor state, recommendation, approved action, equipment response and QC result) and the cited release package to the immutable audit trail.
Tool calls · scenario
What a release changes in the tool log
A release that touches a write path changes which tools exist, what they may touch and at what level. Those diffs are reviewed by MSAT and QA before promotion.
- 06:12:04mes.read_batch_record({ line: "L2", product: "IR tablet · family A" })
- 06:12:05ok design space loaded · autonomy policy L2 · QA reviewer assigned
- 06:12:06twin.simulate({ candidates: 36, horizon: "full batch" })
- 06:12:47ok candidate #14 selected · predicted CU inside limit · capping risk under threshold
- 06:12:48policy.evaluate({ candidate: 14, autonomy: "L2" })
- 06:12:48ok 5 setpoint moves inside design space · release held for QA
- 06:12:49nir.score({ probe: "blender-1", model: "cu-famA-v3" })
- 06:18:59ok blend end point reached · confidence bounds inside acceptance limit
- 06:19:00plc.write_setpoint({ tag: "FBD1.INLET_T", within: "design space" })
- 06:22:48ok loss-on-drying in target band · move logged to audit trail
- 06:22:49press.write_setpoint({ tag: "TP2.MAIN_FORCE", within: "design space" })
- 06:24:51ok weight and hardness on target · capping risk under threshold
- 06:24:52vision.stream({ cameras: 6, model: "visqa-defect-v2" })
- 06:27:10chip rate rising on camera 4 · attributed to spray rate, not tooling
- 06:27:11coater.write_setpoint({ tag: "CT1.SPRAY", within: "design space" })
- 06:29:14ok chip rate back to baseline · film window held
- 06:29:15nir.evidence_chain({ attributes: ["cu", "moisture"], method: "validated" })
- 06:29:53ok evidence chain assembled · citations attached
- 06:29:54approval.request({ action: "batch_release", reviewer: "QA" })
- 06:33:08ok approved by the named QA reviewer · identity and timestamp logged
- 06:33:09audit.write_release_package({ batch: "B-240918", genealogy: "full" })
- 06:34:01ok scenario complete · genealogy written · package cited
Reasoning trace
Plan, thought, action, observation, exactly as the orchestrator records it.
GoalRun one immediate-release tablet batch through granulation, co…
Run one immediate-release tablet batch through granulation, compression, coating and inspection inside the approved design space, with QA approval before release.
PlanRehearse on the twin first. Stop blending on NIR evidence rath…
Rehearse on the twin first. Stop blending on NIR evidence rather than on a fixed time. Trim drying, compression and coating only inside the approved design space. Inspect continuously. Hold release for the named QA reviewer, always.
ThoughtThe fixed recipe blends for a set time regardless of what the …
The fixed recipe blends for a set time regardless of what the spectra say. On the twin, the candidate that stops on evidence and trims inlet temperature before compression keeps content uniformity and moisture inside their limits with the lowest predicted capping risk.
Actiontwin.simulate(candidates=36) → candidate #14: evidence-based b…
twin.simulate(candidates=36) → candidate #14: evidence-based blend end point, bounded drying trim, compression force held inside the window, spray rate re-phased to bed temperature.
ObservationEvery candidate that pushed turret speed for takt raised predi…
Every candidate that pushed turret speed for takt raised predicted capping risk above the site threshold and was discarded. Rate is never traded for a quality attribute.
ActionExecute candidate #14 under autonomy level L2: five setpoint m…
Execute candidate #14 under autonomy level L2: five setpoint moves inside the design space, each logged. Batch release routed to QA.
ObservationChip rate rose on camera 4 at 06:27:10. Visqa attributed it to…
Chip rate rose on camera 4 at 06:27:10. Visqa attributed it to coating spray rather than tooling; a bounded spray-rate trim returned it to baseline in about two minutes.
OutcomeScenario complete. Every move inside the approved design space…
Scenario complete. Every move inside the approved design space, the QA approval recorded with identity and timestamp, and the cited release package written by Conforma to the immutable audit trail.
Policy
How a release reaches a line
Every release type, its gate and whether a site must sign.
| Release type | Gate | Site sign-off |
|---|---|---|
| Read-only connectors | Site validation of read path | No |
| Model version (shadow) | Golden-dataset evaluation in CI | No |
| Model version (assist or above) | Evaluation plus MSAT and QA review | Yes |
| Tool or limit change | Change control, design-space check | Yes |
| Autonomy level change | Site QA decision, policy promotion | Yes |
| Edge runtime | Validated IQ and OQ on the node | Yes, for write-enabled nodes |
Autonomy
Four levels, set per agent and per setpoint
A tablet plant does not go from fixed recipes to autonomy in one step, and validated parameters never change without sign-off. Pildeon makes the level explicit, auditable and reversible at any time.
| Level | What the agent does | What the human does | Typical time to reach |
|---|---|---|---|
| L0 · Shadow | Observes, scores and predicts; writes nothing | Runs the line as today; compares predictions to QC results | Weeks 1 to 6 of a design partnership |
| L1 · Assist | Recommends setpoint moves and explains why | Process engineer enters the move; QA reviews the log | After shadow-mode accuracy is shown |
| L2 · Supervised | Proposes a bounded move; it executes on approval | Approves each move in the review console | After assist-mode ROI is shown |
| L3 · Bounded | Moves low-risk compression, coating and inspection setpoints inside the approved design space | Handles exceptions; approves every release | After validation and change-control review |
There is no unattended level. Batch release and any move outside the approved design space always wait for a named QA reviewer, and every model or prompt change runs under GxP change control.
Accelerated computing
Physical AI, at the press
Tablets leave a rotary press by the hundreds of thousands an hour. Perception has to be local, deterministic and fast, so Pildeon runs GPU inference on the plant edge and keeps training, simulation and optimisation on DGX, HGX or OVX, on-prem where the data cannot leave the plant.
Edge perception
Multi-camera chip, crack, spot and print inspection and NIR and PAT fusion on the plant edge. Design targets: under 100 ms per camera frame group, under 500 ms for a fused risk score.
Validated model serving
Vision, spectral, time-series and process-reasoning models behind one orchestrator, versioned, tenant-isolated, with bounded actions and audit schemas enforced at the serving layer.
Training and fine-tuning
Defect vision, coating appearance, NIR and PAT chemometrics, press and coater time-series models and process-window models, trained under GxP change control.
As-made batch twin
GPU-accelerated DEM granulation, CFD coating spray and drying, compression and ejection risk and a dissolution surrogate. Design target: nightly design-space sweeps per formulation family.
Synthetic rare faults
Capping, lamination, sticking, mottling, segregation and print-defect scenarios generated for class balance, always labelled synthetic and evaluated apart from real GMP evidence.
Optimisation and handling
Campaign and changeover sequencing, drying and coating energy allocation and line balancing with cuOpt; sim-first IBC and tooling handling policies trained and rehearsed with Isaac.
Guardrails
An agent that can move a compression force needs a leash
Pildeon writes to production equipment in a GMP plant. Every capability is scoped to the approved design space, every write is policy-checked, every action is written to an immutable Part 11 audit trail the site owns, and no agent can release a batch.
- Bounded action space. Each agent can only write to an explicit setpoint allow-list, inside the limits the site's validation approved.
- Policy engine before every write. Autonomy level, design-space limits, batch state, model version and reviewer assignment are all evaluated before a setpoint moves.
- Human-in-the-loop gates. Batch release, any move outside the design space and any change to a validated parameter wait for a named QA reviewer.
- Immutable audit trail. Append-only, hash-chained, exportable, retained on the site's own storage, with reviewer identity and timestamp on every decision.
- Hard fallback. Loss of the edge node, the network or the model returns the line to the equipment's last known-good recipe.
- Tenant and IP isolation. Formulations, recipes and models never cross a customer boundary. Validated on-prem deployment is available for regulated producers.
Compliance posture
| Standard | Scope | Status |
|---|---|---|
| 21 CFR Part 11 | Audit trail, e-signatures, records | RUNNING Designed in from day one |
| GAMP 5 | Validation package for the platform | RUNNING In progress, planned for the first design partners |
| cGMP · ICH Q8 to Q13 | Design space, QbD, continuous manufacturing | RUNNING Design-aligned; site validation decides |
| SOC 2 Type I | Cloud control plane | QUEUED Planned, first six months |
| SOC 2 Type II | Cloud control plane | QUEUED Planned, months six to twelve |
| Data residency | Validated on-prem, air-gapped option | SUCCEEDED Available by design |
Integrations
It speaks tablet plant, not cloud
Pildeon reads and writes through the systems already on the floor: presses, coaters, granulators, PAT probes, MES, LIMS and historians. No rip-and-replace, no parallel historian. Connectors are built with design partners against their stacks; the vendors listed are the ones common in OSD plants.
GEA, Glatt, Syntegon, Freund-Vector, L.B. Bohle
Blender, granulator and fluid-bed telemetry; bounded setpoint writes
Fette Compacting, Korsch, IMA, Syntegon, MG2
Force curves, fill depth, ejection force; bounded setpoint writes
GEA, Glatt, O'Hara, Thomas, Freund
Spray, inlet, bed temperature, exhaust humidity; bounded writes
Bruker, Sartorius, Viavi probes and analysers
Spectra across blend, granulation, drying and compression
Line cameras and existing inspection systems
Frames, defect maps, reviewed images
Körber Werum PAS-X, Rockwell, Siemens Opcenter
Master batch records, campaigns, batch genealogy
Site LIMS, OSIsoft PI and equivalent historians
QC results, time-series backfill and replay
Azure AD, Okta, LDAP · NVIDIA Jetson and on-prem GPU
SSO, RBAC, named approvers · inference at the line
FAQ
Straight answers
The questions site directors, MSAT engineers and QA leads actually ask in the first meeting.
Yes, but only inside an explicit setpoint allow-list bounded by the design space your validation approved, and only at the autonomy level your site has set. Level 0 is shadow mode: Pildeon observes and predicts and writes nothing. Most sites spend their first weeks there.
No. The approved design space is a wall the policy engine enforces at call time. A move outside it, or a change to a validated parameter, is a change-control event that waits for QA sign-off. No autonomy level removes that gate.
A named QA reviewer, every time. Pildeon assembles the evidence chain and the cited release package; the reviewer approves or rejects it in the review console, and the decision, identity and timestamp land in the Part 11 audit trail.
The line returns to the equipment's own last known-good recipe. Pildeon is a supervisory layer on top of your existing control systems, never a replacement, so an outage degrades the line to the way it runs today, not to a stop.
Only if you choose cloud training. Formulations, recipes, spectra and defect libraries are tenant-isolated and never used to train another customer's models. Validated on-prem deployment with an air-gapped plant edge is available.
Shadow mode on one wedge workflow first, with baseline rejects, deviations, yield, energy and release time captured before any autonomous action. Assist mode once prediction accuracy is shown against QC results. A paid validated pilot only when there is a written ROI target. Timelines depend on the site's validation and change-control calendar.
Get started
Follow the release line
Design partners see release notes before promotion and sign off on anything that touches a write path.