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BIOMEDANA ASSIST & AGENTS / PHARMA & BIOTECH

A scientific question.
A team that gets to work.

Ask Assist to analyze process data, build a digital twin, design experiments or investigate a pharma question. It brings specialist agents, connected evidence and platform tools together—and returns work your team can inspect, refine and use.

Explore the workspace ↓Bring us your workflow ↗
YOUR INTERFACE

Assist

Define the question. Refine the scope. Explore the work.

THE SPECIALIST TEAM

Agents

Coordinate expertise, use tools and assemble reviewable results.

THE PLATFORM

Hub · Twin · OS

Evidence, modeling and governance stay connected.

01 / THE EXPERIENCE

See the request,
the work and the result.

Scroll through one connected workflow: Assist coordinates its specialists, explores Twin scenarios and prepares a study proposal. The work advances with your scroll.

Skip product journey ↓
THE INTELLIGENCE JOURNEY01 / 03 ↓ SCROLL TO EXPLORE
04 / COORDINATE · BIOMEDANA ASSIST & AGENTS

One question. The right expertise.

Assist coordinates specialists across evidence, models and scientific workflows.

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BioMedAna ASSIST & AGENTS● LIVE · ILLUSTRATIVE WORKSPACE
ASSIST & AGENTS / COORDINATEEXAMPLE DATA
SCIENTIFIC REQUEST

“”

01Data readinessCheck context
Queued
02Hybrid modelingCompare scenarios
Queued
03Study designPrepare a DoE
Queued
04Scientific reviewFlag evidence gaps
Queued
  1. ACTIVITY
  2. Waiting for the request…
OUTPUTS FOR REVIEW
▤ Model configuration ↗▤ Scenario comparison ↗▤ Study proposal ↗
Illustrative data · expert review requiredASSIST & AGENTS / 01
03 / SIMULATE · BIOMEDANA TWIN

Explore the process before the next run.

Compare model scenarios, assumptions and uncertainty before committing material.

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BioMedAna TWIN● LIVE · ILLUSTRATIVE WORKSPACE
TWIN / SIMULATEEXAMPLE DATA
Predicted final titer5.59 g/L
Uncertainty± 0.22
Evidence rangeWithinsupported by prior runs
PROCESS RESPONSE Live scenario vs saved scenarios A–C
0246DAY 0DAY 7DAY 14
SCENARIO INPUTS auto-exploring · drag to take over
● Inside the evidence range
  • Growth: logistic kinetics fitted to 12 runs
  • Feed: daily bolus, constant composition
  • Scale: 2 L fed-batch, no scale correction
Assumptions visible. Scientist review required.
Illustrative data · expert review requiredTWIN / 02
05 / DECIDE · BIOMEDANA ASSIST & AGENTS

Turn the work into a reviewable next step.

A study proposal, its assumptions and its evidence—ready for your experts.

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BioMedAna ASSIST & AGENTS● LIVE · ILLUSTRATIVE WORKSPACE
ASSIST & AGENTS / DECIDEEXAMPLE DATA
Study factors0
Conditions in study0
Review statusDraft
CANDIDATE STUDY Predicted titer · click to include or exclude
FEED START (DAY)
FEED RATE (g/L/day) →

Day 3, 3 g/L/day: predicted 5.3 ± 0.30 g/L (illustrative)

REVIEW GATE

Ready for a scientist.
Not the bioreactor.

Confirm safe ranges, controls, randomization and statistical power.

Illustrative data · expert review requiredASSIST & AGENTS / 03

Interactive examples with illustrative data. No AI service or customer system is connected. Model curves and study designs demonstrate the experience; they require fitting, evaluation and expert approval for real scientific use.

100+Ready agents for bioprocess teams
06BioMedAna workflow categories
Human-ledExpert review at consequential decisions
One interfaceAnalysis, models, experiments and reports

02 / HOW THEY FIT

Assist is how you ask.
Agents are how the work moves.

01How you ask

Assist

Assist is the conversational interface across BioMedAna, not a separate Hub feature.

02How the work moves

Agents

Specialist agents translate your request into coordinated analysis, modeling, experiment planning and reporting. Start with a scientific objective and shape the workflow around the evidence and tools it needs.

03How it is scoped

Engagement

We define the task with your scientific and digital teams, connect only the sources it needs, and design an output that a named expert can review. A ready agent does not mean a customer-specific regulated workflow is already validated; integrations, controls and intended use are evaluated for each engagement.

03 / BEHIND ASSIST

One request.
A coordinated agent team.

Assist frames the request; the Scientific Orchestrator selects relevant specialist agents and tools. Review agents check the findings, identify conflicts and return missing evidence for another pass. Your team receives the resulting work and owns the decision.

BIO AGENTS / ORCHESTRATION VIEW
T+00.0sILLUSTRATIVE SIMULATION · NO LIVE DATA
01 / REQUESTProgram mAb-07 · runs 09–19 · output: cited brief
02 / MOE ARCHITECTUREScientific OrchestratorGates the request to the experts it needs
BE—
PT—
AD—
QC—
EQ—
MF—
DS—
RG—

Router idle

03 / SPECIALIST SUB-AGENTSAWAITING TASKS
BE0 refs
Batch Evidence AgentBatch & ELN records
Queued

Media lot changed before run 14

PT0 refs
Process Trend AgentRun trends & events
Queued

DO dips after feed 3 in affected runs

AD0 refs
Analytical Data AgentAssays & CQAs
Queued

Titer −11% vs. baseline; glycans stable

QC0 refs
Quality Context AgentSOPs & deviations
Queued

Open deviation on feed pump PM

04 / SUPERVISOR AGENTScientific Review Agent
  • Cross-checked 37 references
  • Conflict on timing between PT and AD reconciled
  • Gap: feed-pump log missing, re-tasking PT
  • Follow-up evidence received, brief released
Evidence coverage62%
Awaiting findings
05 / HUMAN GATEScientific / Quality owner
Brief · Titer shift, runs 14–19
  • Media lot change aligns with the onset in run 14
  • DO dips after feed 3, consistent with pump under-delivery
  • Quality attributes stable; titer effect only
12 citationsConfidence: moderateOwner: named expert
Decision stays with a named expert
01 / HUMAN REQUEST
Define the scientific question

A scientist selects the program, runs, systems and reviewable output before any agent receives a task.

04 / ACROSS PHARMA & BIOTECH

Start where evidence work slows the team.

Six ways to put ready agents to work across pharma and biotech. Data readiness is part of process knowledge, not a standalone category. Each workflow is scoped and evaluated with your team.

01 / WORKFLOW

Process knowledge & data readiness

Locate prior runs, align their context and flag missing or inconsistent source data before it is reused in analysis. Keep mappings and conclusions linked to the original records.

INPUTSELNLIMSrun filesreports
Specialist agentsWaiting for sources
REVIEWABLE OUTPUT
Source-linked knowledge and readiness briefLinked to 4 sources
✓
HUMAN OWNERProcess Development / R&D Digital

05 / BUILT FOR ACCOUNTABILITY

Useful automation.
Visible boundaries.

Scientific and regulated work needs more than a fluent answer. Each engagement defines what an agent can access, produce and change—and what remains a human decision.

AGENT ACTIONSummarise the deviation evidence for batch 24
  1. 01

    Source-grounded output

    Results show the underlying records and distinguish retrieved evidence from generated interpretation.

  2. 02

    Scoped tools and permissions

    Connect only approved systems and actions. Start read-only where possible, and require explicit approval for consequential writes or externally used outputs.

  3. 03

    Known limits and handoffs

    Missing evidence and low-confidence results must be visible. An agent should stop or escalate when the task exceeds its defined boundary.

  4. 04

    Evaluation before expansion

    Test accuracy, citations, omissions, reviewer effort and failure cases against an agreed baseline before wider use.

Checking boundaries…

06 / AGENTIC AIDLC

From idea to operation.
With evidence at every gate.

Our agentic AI development lifecycle (AIDLC) takes a workflow from a scientific question to supervised use. Ready agents accelerate assembly; each customer’s data, controls and intended use still determine the validation work.

01
STAGE 01 / 06

Discover

Choose one decision, its human owner, baseline process, source systems and success measures.

EVIDENCE AT THIS GATE
  • ✓Decision owner named
  • ✓Baseline effort measured
  • ✓Source systems listed
One experience across BioMedAna

Hub connects and governs bioprocess evidence; Twin supports predictive and simulation workflows. Assist is the interface to coordinated agent work across those tools and other approved systems, with OS providing shared oversight. Available tools and actions depend on the deployment, connected evidence and user permissions.

Explore evidence-linked agent workflows

Start with the bioreactor deviation investigation guide or explore the digital thread for technology transfer and PPQ to define the evidence, handoffs and human review your workflow needs.

For platform selection, compare BioMedAna and InvertBio on coordinated agent work, or use the bioprocess AI platform evaluation guide to scope a representative demonstration.

8 MODALITIES · ONE GOVERNED FOUNDATION

Coordinate the work across modalities.

Keep the process question, source evidence and model scope connected as agents prepare analyses and next steps for expert review. Vaccine workflows carry infection, harvest and inactivation context through the same foundation.

CHO · mAbMonoclonal antibodiesCHO · MicrobialRecombinant proteinsCAR-T · TIL · NKCell therapiesAAV · LentiviralGene therapies and viral vectorsBacterial · YeastMicrobial and precision fermentationASO · siRNARNA and oligonucleotidesSmall molecule · Reaction kineticsChemical & pharmaceutical APIsVAX · Cell cultureViral vaccines

Workflow availability and model suitability are evaluated for the product, process and intended use. Scientific and quality decisions remain with your team.

START WITH A WORKFLOW

What should your team stop assembling by hand?

Bring a task, its owner and the evidence it depends on. We’ll discuss a focused Assist and Agents workflow and how to judge it.

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