Scispot Orchestrate

Keep Your Stack. Add One Orchestration Layer.

Coordinate instruments, automation, ELN, LIMS, SDMS, QMS, cloud apps, people, and AI across one governed lab workflow.

Scispot Lab Operating System diagram: AI Agents, Jupyter Hub and third-party instruments connected through the Digital Brain to ELN, LIMS, SDMS, QMS, app integrations, Smart Actions and Trust Vault

Trusted by 200+ life science labs

The Coordination Gap

Your lab has automation.
The workflow is still manual.

Instruments run. LIMS stores. ELNs document. Robots execute. People still connect the pieces, moving files, reconciling IDs, checking status, chasing approvals, resolving exceptions, and deciding what happens next.

One governed workstream
Cross-system state
Human + AI handoffs
01

Context breaks

Data moves. Its scientific meaning often does not.

02

Work gets stuck

Status lives across systems, spreadsheets, and people.

03

Exceptions wait

Someone still has to notice, investigate, and route them.

04

AI sees fragments

Agents need workflow state and scientific context, not isolated records.

What Orchestration Means

Integration Connects. Automation Executes. Orchestration Coordinates.

INTEGRATION

Move data

Connect systems

Connect one instrument, system, or application to another.

AUTOMATION

Perform a task

Execute defined work

Parse a file. Apply a calculation. Run a QC rule. Generate a report.

ORCHESTRATION

Coordinate the workstream

Connect state + action

Coordinate systems, people, rules, agents, approvals, exceptions, and next actions.

Each native app solves a focused operational need. Together, they become a modular lab operating system, without forcing an all-at-once replacement.

One Operating Layer

One Orchestration Layer Across The Lab You Already Have.

Keep existing systems. Add Scispot native apps where they help. Coordinate both through one governed operating context.

01 / Gather
Orchestration 0%
One operating layer

Bring the lab you already have.

Instruments, software, scientific data, and people do not need to start in one system.
01
Instruments & automation
Runs · files · status · results
02
Lab software
ELN · LIMS · LIS · SDMS · QMS
03
Cloud & data
Databases · storage · analytics
04
People & partners
Scientists · reviewers · CROs · CDMOs
SCISPOT ORCHESTRATE
One governed operating context.
State, scientific context, rules, approvals, actions, and evidence stay connected while work moves.
○
State
◇
Context
↝
Rules
✓
Approvals
→
Actions
⌁
Evidence
✓
Reviewed results
Structured · contextualized · reusable
R
Reports & CoAs
Generated from approved work
D
Dashboards
Connected operational visibility
→
Next approved actions
Route work with context intact
Gather Existing systems stay in place.
From Event To Action

One Result. One Connected Workflow.

Event → Action
Swipe through workflow →
01
Data arrives
Instrument · file · API · connected application
02
Add context
Sample · method · protocol · run · version
03
Process
Transform · calculate · analyze
04
Check
QC · completeness · exceptions
05
Decide
Route · review · approve
06
Publish
Reviewed result · report · dashboard
07
Act
Create the next task or trigger the next supported workflow.
No Forced Rip-And-Replace

Use Ours. Bring Yours. Mix Both.

Your lab does not need to replace every ELN, LIMS, LIS, SDMS, or QMS at once. Add the Scispot apps you need, connect systems that still serve you, and move toward one operating layer at your pace.

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Live configuration
1 of 3 selected
Scispot Native Apps
Selected
ELN++ LIMS++ LIS++ SDMS++ QMS++
Scispot Digital Brain
Context · Data · Memory
Your Existing Systems
Selected
Existing ELN Existing LIMS Instruments Cloud / ERP
Smart Actions Scibot MCP + APIs
Add Scispot native apps where your workflows need them.

Recruit AI Coworkers.
Transform Lab Operations.

Scibot is a family of AI agents that work with your data, understand your lab context, and take action. From simple lookups to complex analysis—Scibot gets the work done.
Meet Scibot
Scibot, the Scispot AI coworker
Flag Tomy’s QC deviations
Count Cynthia’s CD8 antibody lots
Find patient-042’s sample location
Flag out-of-spec results
Compare assay run results
Summarize Jeremy’s sequencing run
Flag Tomy’s QC deviations
Count Cynthia’s CD8 antibody lots
Find patient-042’s sample location
Flag out-of-spec results
Compare assay run results
Summarize Jeremy’s sequencing run
Built for Labs
Trained on lab data and workflows.
Secure & Compliant
Protect lab data with traceable workflows.
Always Learning
Improves with your data and feedback.
What Changes

Less Coordination. More Science.

01

Fewer manual handoffs

Stop moving the same information between people and systems.

Instrument data from a Thermo Fisher Orbitrap streaming at 1.2 GB per run

02

Faster result → decision

Reduce the waiting between completed work and the next decision.

Evidence and reports: audit trail report, validation summary and CAP-CLIA execution report, always ready

03

Evidence created during work

Keep context, approvals, and traceability connected as the workflow runs.

Staging lakehouse transformation running with units, IDs and metadata mapped and every version kept

04

AI gets usable context

Give analytics and agents the state, lineage, rules, and permissions behind the data.

Control the workflow: role-based permission, schema locked and inline editing restricted
Software platforms manage tools. We manage outcomes.

Find the handoff that should disappear first.

Bring one workflow that crosses instruments, systems, or teams. We’ll map the coordination points, controls, and first measurable outcome.

FAIR data • pipelines • automation

Instruments • ELN/LIMS/SDMS • 200+ connectors

FAIR data • pipelines • automation

Instruments • ELN/LIMS/SDMS • 200+ connectors

Chosen by labs that set the standard

Scispot stayed close to the technical details and extended label printing across our device environment. That makes the clinical workflow easier for the team to use and showed that the delivery team would stay with the practical issues that matter in day-to-day operations.
Ally Hirsch
Scientist & Regulatory Technical Lead
Our team was spending too much time on sample tracking and spreadsheet gymnastics instead of the science. Scispot is becoming the single place we can answer what happened to a sample, from intake through capture, libraries, and sequencing.
Brett Stevens
Director of Translational Laboratory Research
Scispot gave our Medical Affairs team a practical way to collect PHI-aware patient submissions and test requests while keeping the lab workflow connected to Sample Manager
Dr. Onome Braimah
Head Medical Affairs
Our team needed a system that allowed for more flexibility while keeping data for our sample intake and processing current. Scispot worked closely with us through recurring sessions to shape a more manageable system using custom automations and also determine best next steps for workflow improvement.
Emily Reister, PhD
Staff Laboratory Science Lead