# Unibio

*/Startups/Unibio*

## Startup Overview

This platform ingests fragmented telemetry from diverse bioreactors, analytical instruments, and sensors, mapping it directly into a unified streaming schema. Instead of waiting for post-run batch extraction, process engineers access live, continuous data feeds during active fermentation and cell culture operations.

Biomanufacturing teams routinely fight vendor lock-in and disparate data formats that trap critical process parameters inside isolated equipment. By the time data from a completed run is aggregated and normalized, the opportunity to correct physical deviations has passed. This system removes the integration bottleneck, instantly translating proprietary machine outputs into a standardized data layer built for immediate analysis.

Legacy SCADA historians trap data in rigid architectures, while platforms like TetraScience and Benchling rely on siloed, batch-processed ingestion. By operating as a vendor-agnostic, real-time streaming pipeline, this solution ensures bioprocess data flows continuously and universally to the exact modeling and monitoring tools scientists require.

## Startup Founding Hypothesis

**Approach**: that maps fragmented bioprocess telemetry into a unified streaming schema
**Competitors**:
- [TetraScience](/Competitors/TetraScience)
- [Benchling](/Competitors/Benchling)
- [legacy SCADA historians](/Competitors/legacy_SCADA_historians)
**Differentiator2x2**: vendor-agnostic and real-time streaming rather than siloed and batch-processed

## Startup Solution Coordinate

**Solution**: [Bioprocess Streaming Engine](/Software/Bioprocess_Streaming_Engine)

## Startup Position2x2

```mermaid
quadrantChart
    x-axis Siloed Vendor Ecosystem --> Vendor-Agnostic Integration
    y-axis Batch and Historical Processing --> Real-Time Streaming
    quadrant-1 Agnostic Streaming
    quadrant-2 Proprietary Telemetry
    quadrant-3 Siloed Records
    quadrant-4 Agnostic Data Lakes
    Unibio: [0.85, 0.85]
    TetraScience: [0.80, 0.30]
    Benchling: [0.20, 0.25]
    Legacy SCADA historians: [0.30, 0.60]
```

## Startup Offer

**Proof**:
- Aiming to reduce data normalization time for a standard 14-day fermentation run from weeks to zero.
- Targeting seamless ingestion from legacy SCADA and modern bioreactor controllers without requiring custom middleware.
- Designed to support real-time predictive control loops by serving unified telemetry at under 500ms latency.
**Tiers**:
- Name: Pilot Stream · Price: ~$200–$500/mo per active bioreactor · Inclusions: Standard telemetry ingestion, real-time normalization, and outbound API access for small-scale R&D runs (capped at 5 concurrent streams).
- Name: Facility Streaming · Price: ~$1,500–$4,000/mo per suite · Inclusions: Up to 25 concurrent equipment streams, custom tag mapping, and intended export capabilities to existing on-premise historian databases.
- Name: Enterprise Site · Price: ~$60k–$120k/yr per physical location · Inclusions: Unlimited streams across a single production site, dedicated VPC or edge-node deployment, and compliance audit trail tooling.
**Guarantee**: Guarantees sub-second latency from equipment tag ingestion to normalized schema availability, or we refund the streaming compute costs for that entire batch run.
**Business Function**: ProvideService
**Objection Handlers**:
- Objection: Our lab uses legacy proprietary controllers that do not emit modern APIs. Rebuttal: Unibio is designed to ingest raw flat-file streams and OPC-UA data directly to bypass proprietary vendor lock-in.
- Objection: We need validated systems for GMP production environments. Rebuttal: The streaming architecture is designed with immutable, versioned audit trails intended to support strict 21 CFR Part 11 validation requirements.
- Objection: Cloud streaming introduces unacceptable latency for live process monitoring. Rebuttal: Edge-node deployment options keep the real-time mapping local to your facility network before syncing historical data to the cloud.
**Pricing Architecture**: UsageMeter
**Agent Checkout Support**:
- agentic-commerce-protocol

## Startup Brand

**Voice**: Clinical and precise, conveying absolute certainty in complex technical environments
**Tagline**: Real-time streaming telemetry across all bioprocessing equipment
**Icon Concept**: bioreactor
**Palette Intent**: institutional-cool
**Visual Identity**: Sterile laboratory white and deep incubator blue define a clean layout grounded by sharp typography.
**Archetype Reference**: the-sage

## Startup Buyer Chain

**Chain**: Unibio → Bioprocess IT Lead → Process Development Scientist
**Gtm Motion**: Acquires process development labs via direct technical sales targeting single-instrument telemetry bottlenecks on specific pilot bioreactors. Expands across the facility by networking the unified streaming schema into full GMP manufacturing suites and legacy SCADA historians.
**Agent Channel**: Designed to register in scientific AI tool directories (like the LangChain integration library or future Benchling developer registries) so autonomous lab agents can discover and subscribe to live bioreactor data streams.
**Primary Channel**: Direct account-based marketing to Bio-IT directors and search capture for high-intent technical queries like 'vendor-agnostic bioreactor telemetry' and 'SCADA to cloud streaming APIs'.

## Startup Customer Journey

```mermaid
flowchart LR; A[Scientific Tool Directory] --> B[Telemetry Sandbox]; B --> C[Pilot Bioreactor]; C --> D[Process Development Lab]; D --> E[GMP Manufacturing Suite]; E --> F[Legacy SCADA Historian]; F --> G[Enterprise Edge Node];
```

## Startup Proof Points

_Illustrative — target and order-of-magnitude estimate figures, not an achieved track record (this Thing is concept-stage)._

**Pilot Goals**:
- 30-day single-suite pilot capturing 5 concurrent bioreactors to prove seamless ingestion from two distinct proprietary legacy controllers without writing custom middleware.
- Observation of one complete 14-day fermentation batch run to validate total data capture and normalization at sub-second latency to satisfy the performance guarantee.
**Target Metrics**:
- Target: 0 days required for post-batch data normalization, down from an industry average of 14 days.
- Aim: Under 500ms latency from raw equipment tag ingestion to normalized schema availability.
- Target: 100 percent telemetry ingestion from mixed legacy SCADA and modern controllers without the use of custom middleware.
**Target Case Studies**:
- Mid-sized contract development and manufacturing organization (CDMO) upgrading from manual flat-file exports across 10 legacy bioreactors to instant normalized telemetry ready for live predictive modeling.
- Enterprise biopharma R&D lab eliminating multi-week batch data normalization for 14-day fermentation runs by utilizing sub-second API availability.
- GMP production facility utilizing an edge-node deployment to enable real-time process monitoring across 25 concurrent equipment streams while maintaining a 21 CFR Part 11 compliant immutable audit trail.
**Testimonial Targets**:
- Bioprocess Engineer validating that the platform eliminates tedious flat-file alignment work and enables predictive control loops directly on the live API.
- Head of Manufacturing IT confirming the edge-node deployment provides the low latency required for live monitoring while satisfying GMP validation requirements.
- R&D Data Scientist expressing relief that unified OPC-UA and proprietary controller data allows fermentation models to run during the live batch rather than weeks later.

## Startup Top Risks

**Risks**:
- Severity: existential · Description: Bioreactor and analytical equipment OEMs encrypt or restrict their proprietary telemetry protocols to block third-party real-time ingestion. · Mitigation Status: unmitigated
- Severity: high · Description: Biopharma Quality Assurance departments block cloud-streaming deployments on the manufacturing floor due to strict GxP data integrity mandates. · Mitigation Status: in-progress
- Severity: high · Description: Incumbents like Benchling or TetraScience release native real-time telemetry streaming modules that bundle seamlessly with their established enterprise contracts. · Mitigation Status: unmitigated
- Severity: moderate · Description: Normalizing fragmented legacy SCADA historian data requires excessive custom integration work per deployment, preventing scalable software margins. · Mitigation Status: in-progress

## Startup Competitors

- [TetraScience](/Competitors/TetraScience) — Data Cloud
- [Benchling](/Competitors/Benchling) — R&D Platform
- [Legacy SCADA Historians](/Competitors/Legacy_SCADA_Historians) — Status Quo
- [OSIsoft PI System](/Competitors/OSIsoft_PI_System) — Incumbent
- [Dotmatics](/Competitors/Dotmatics) — Scientific Software

## Startup Solution Stack

- [Bioprocess Telemetry Service](/Services/Bioprocess_Telemetry_Service) — Service-as-Software
- [Schema Normalization Agent](/Agents/Schema_Normalization_Agent) — Agent
- [Real-Time Streaming Engine](/Software/Real-Time_Streaming_Engine) — Software
- [Vendor Agnostic Equipment SDK](/Software/Vendor_Agnostic_Equipment_SDK) — Software

## Startup Story Brand

**Hero**:
- **Need**: to be the process architect driving predictive yields, not the one cleaning CSVs
- **Want**: to stream normalized telemetry from every bioreactor in real time
- **Identity**: the bioprocess engineer at a commercial-scale manufacturing site
**Plan**:
- Step: Select streams · Detail: Identify the specific equipment tags and bioreactor controllers across your lab or production suite.
- Step: Validate mapping · Detail: Confirm the real-time normalization of fragmented telemetry into a single, unified streaming schema.
- Step: Monitor live · Detail: Access sub-500ms data streams through a single API for immediate predictive control and monitoring.
**Guide**:
- **Empathy**: Does your data normalization still delay batch analysis by several weeks?
**Problem**:
- **Villain**: vendor lock-in
- **External**: Data remains trapped in legacy SCADA historians and proprietary controllers like Benchling or TetraScience, requiring weeks of manual cleanup after every 14-day fermentation run
- **Internal**: You feel like you are flying blind because you cannot see process deviations until the batch is already over
- **Philosophical**: Bioprocess telemetry was built for process control, not for isolation in proprietary siloes.
**Success**: Real-time telemetry streams from every legacy and modern controller into a single, clean dashboard for instant intervention.
**One Liner**: What if your bioprocess data was live and unified the moment it left the bioreactor? Unibio maps fragmented equipment telemetry into a single streaming schema, enabling sub-second process monitoring and control.
**Positioning**:
- **So That**: achieve sub-second visibility across all proprietary bioreactor controllers
- **Unlike**: legacy SCADA historians and batch middleware
- **For Whom**: bioprocess engineers at R&D and manufacturing sites
- **Category**: Real-time bioprocess telemetry streaming
**Call To Action**:
- **Direct**: Launch Pilot Stream
- **Transitional**: View Normalized Schema Sample
**Failure Stakes**:
- Delayed batch releases
- Undetected process drifts
- Wasted R&D fermentation cycles
**Transformation**:
- **To**: architecting real-time predictive control loops instead of chasing batch reports
- **From**: cleaning CSVs from legacy SCADA historians
**Controlling Idea**: Real-time bioprocessing requires unified telemetry, not siloed batch exports.

## Startup Token Hero

**Genre**: founding-hypothesis
**Rendered**: What if your bioprocess data was live and unified the moment it left the bioreactor? Unibio maps fragmented equipment telemetry into a single streaming schema, enabling sub-second process monitoring and control.
**Mechanism**: spine-derived-v1
**Template Id**: spine-founding-hypothesis
**Vocab Fingerprint**: a466f33eb7358511

## Startup Token Positioning

**Genre**: moore-positioning
**Rendered**: Real-time bioprocess telemetry streaming for bioprocess engineers at R&D and manufacturing sites. Unlike legacy SCADA historians and batch middleware — achieve sub-second visibility across all proprietary bioreactor controllers.
**Mechanism**: spine-derived-v1
**Template Id**: spine-moore-positioning
**Vocab Fingerprint**: 311f6943bd9e898e

## Startup Token Pitch Deck

**Genre**: pitch-deck
**Rendered**: Problem: Data remains trapped in legacy SCADA historians and proprietary controllers like Benchling or TetraScience, requiring weeks of manual cleanup after every 14-day fermentation run
Solution: What if your bioprocess data was live and unified the moment it left the bioreactor? Unibio maps fragmented equipment telemetry into a single streaming schema, enabling sub-second process monitoring and control.
Customer: bioprocess engineers at R&D and manufacturing sites
Unlike: legacy SCADA historians and batch middleware
**Mechanism**: spine-derived-v1
**Template Id**: spine-pitch-deck
**Vocab Fingerprint**: 24b7369375d42ac2

## Startup Token M E D D P I C C

**Pain**: Data remains trapped in legacy SCADA historians and proprietary controllers like Benchling or TetraScience, requiring weeks of manual cleanup after every 14-day fermentation run
**Metrics**: Target: Real-time telemetry streams from every legacy and modern controller into a single, clean dashboard for instant intervention.
**Rendered**: Pain: Data remains trapped in legacy SCADA historians and proprietary controllers like Benchling or TetraScience, requiring weeks of manual cleanup after every 14-day fermentation run
Economic buyer: Bioprocess IT Lead
Metrics: Target: Real-time telemetry streams from every legacy and modern controller into a single, clean dashboard for instant intervention.
Competition: legacy SCADA historians and batch middleware
**Mechanism**: spine-derived-v1
**Competition**: legacy SCADA historians and batch middleware
**Economic Buyer**: Bioprocess IT Lead
**Vocab Fingerprint**: b76318f872a1bd84

## Startup Token Cold Email

**Genre**: cold-email
**Rendered**: Subject: Real-time bioprocess telemetry streaming for bioprocess engineers at R&D and manufacturing sites

bioprocess engineers at R&D and manufacturing sites — Data remains trapped in legacy SCADA historians and proprietary controllers like Benchling or TetraScience, requiring weeks of manual cleanup after every 14-day fermentation run What if your bioprocess data was live and unified the moment it left the bioreactor? Unibio maps fragmented equipment telemetry into a single streaming schema, enabling sub-second process monitoring and control.
**Mechanism**: spine-derived-v1
**Template Id**: spine-cold-email
**Vocab Fingerprint**: a014918ec7aedda7

## Startup Token Agent Spec

**Genre**: ai-agent-spec
**Rendered**: Real-time bioprocess telemetry streaming. What if your bioprocess data was live and unified the moment it left the bioreactor? Unibio maps fragmented equipment telemetry into a single streaming schema, enabling sub-second process monitoring and control. Serves bioprocess engineers at R&D and manufacturing sites.
**Mechanism**: spine-derived-v1
**Template Id**: spine-ai-agent-spec
**Vocab Fingerprint**: 88ae40f14b200450

## Neighborhood

### Candidate solutions

- [Fuel Surcharge Leakage](/Problems/Fuel_Surcharge_Leakage) — candidate solution for · Problems
- [Service Technician Shortage](/Problems/Service_Technician_Shortage) — candidate solution for · Problems

### Composed of

- [Diagnostic Guidance Service](/Services/Diagnostic_Guidance_Service) — composes · Services
- [Bay Guidance Agent](/Agents/Bay_Guidance_Agent) — composes · Agents
- [Sensor Telemetry API](/Software/Sensor_Telemetry_API) — composes · Software
- [Schematic Parsing Agent](/Agents/Schematic_Parsing_Agent) — composes · Agents
- [Diagnostic Guidance Agent](/Agents/Diagnostic_Guidance_Agent) — composes · Agents
- [Interactive Checklist Service](/Services/Interactive_Checklist_Service) — composes · Services
- [Checklist Generation API](/Software/Checklist_Generation_API) — composes · Software
- [Document Parsing Worker](/Agents/Document_Parsing_Worker) — composes · Agents
- [Schema Normalization Agent](/Agents/Schema_Normalization_Agent) — composes · Agents
- [Vendor Agnostic Equipment SDK](/Software/Vendor_Agnostic_Equipment_SDK) — composes · Software
- [Real-Time Streaming Engine](/Software/Real-Time_Streaming_Engine) — composes · Software
- [Bioprocess Telemetry Service](/Services/Bioprocess_Telemetry_Service) — composes · Services

### What it offers

- [Schematic Logic Engine](/Software/Schematic_Logic_Engine) — offers · Software
- [Fault Isolation Engine](/Software/Fault_Isolation_Engine) — offers · Software
- [Bioprocess Streaming Engine](/Software/Bioprocess_Streaming_Engine) — offers · Software

### Who it serves

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- [Dotmatics](/Competitors/Dotmatics) — competes with · Competitors
- [OSIsoft PI System](/Competitors/OSIsoft_PI_System) — competes with · Competitors
- [Legacy SCADA Historians](/Competitors/Legacy_SCADA_Historians) — competes with · Competitors

### Embodies

- [Software](/Theses/Software) — embodies · Theses

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