Intelligence systemsfor space engineeringand operations

SPAIDER develops aerospace ontologies, domain models, expert agents, and verification systems for technical and operational work across the space mission lifecycle.

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SPAIDER intelligence systems

Technical intelligence for the space mission lifecycle.

SPAIDER develops the intelligence layer for space programs, engineering teams, and mission operations. The system combines aerospace knowledge, models, expert agents, and verification mechanisms in one architecture.

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/ 01

Domain expert

Aerospace ontologies, structured program knowledge, and domain-adapted models provide the context required for space workflows.

Ontology · Knowledge · Models

/ 02

Autonomous

Workflow agents plan and execute bounded tasks across proposals, systems engineering, and mission operations using approved tools and data.

Agents · Tools · Workflow memory

/ 03

Trustworthy

Evidence provenance, contradiction checks, and confidence signals make AI-generated outputs easier to verify before they enter technical work.

Grounding · Verification · Explainability

/ 04

Governed

Access controls, approval gates, audit records, and deployment controls keep people responsible for consequential decisions.

Policy · Review · Audit

Technology architecture

Five connected intelligence layers.

Knowledge is structured by aerospace ontologies, processed by domain models, used by expert agents, and evaluated through the Trust Layer.

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Knowledge

Program data, documents, telemetry, standards

Ontologies

Aerospace concepts and technical relationships

Models

Domain reasoning, extraction, classification

Agents

SAGAN, SPOCK, and KEPLER workflows

Trust

Evidence, confidence, consistency, review

Current products

Explore our products and workflows.

AI Foundations provides the underlying knowledge infrastructure. SAGAN applies it to aerospace proposals and tender workflows.

Knowledge infrastructure

AI Foundations

AI Foundations structures private aerospace knowledge for retrieval, model use, and agent workflows. It provides the data and knowledge infrastructure used across the SPAIDER stack.

Ingest internal documents and approved external sources.
Structure technical knowledge using aerospace taxonomy and ontology.
Search and retrieve with traceable source context.
Provide governed knowledge access to models and agents.

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RFP & Proposal Assistant

SAGAN

SAGAN supports aerospace bid teams across opportunity assessment, requirements analysis, proposal structure, work packages, costing, and compliance review.

Read RFPs and extract requirements automatically.
Draft responses using your templates and past materials.
Reuse internal knowledge with source-backed outputs.
Support reviews, planning, and submission readiness.

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Expert agents

Three agents for space programs.

Each agent is defined around a distinct technical workflow and uses the same knowledge, model, ontology, and Trust infrastructure.

01SAGANProposals and tenders

LiveExplore

02SPOCKSystems engineering

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03KEPLERMission operations

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Core R&D · Trust Layer

Explainable AI for technical decisions.

The Trust Layer adds independent verification at the input and output boundaries of SPAIDER agents. It produces evidence about an answer, including its sources, consistency, and confidence.

Explore Trust and explainability

Evidence and provenance

Record the documents, passages, and retrieval path used to produce an answer.

Contradiction screening

Check new facts and retrieved context against established program knowledge and memory.

Confidence estimation

Identify uncertain outputs and route them for stronger verification or expert review.

Machine-readable signals

Attach verification results to each output so downstream tools and reviewers can use them.

A space-technology development roadmap.

SPAIDER combines current ground-based products with R&D for future engineering, operational, edge, and autonomous space applications.

Research and product development across aerospace knowledge systems, domain models, technical agents, explainability, and mission-operations intelligence.

Technical concepts, requirements, systems, interfaces, operational procedures, and mission context are represented for use by models and agents.

The current focus is expert support for ground-based engineering and operations. The architecture is being developed for future use across ground systems, edge environments, and autonomous mission workflows.

From pilot to production

A defined path from a bounded technical use case to an operational workflow.

Step 01

Define your use case

Select a bounded engineering, operations, knowledge, or proposal workflow.

Step 02

Prepare your data

Structure the relevant documents, standards, project history, and approved data sources.

Step 03

Prototype

Configure a working workflow and validate it with the responsible technical team.

Step 04

Deploy

Deploy in an agreed cloud, private-cloud, or on-premises environment.

From pilot to production

A defined path from a bounded technical use case to an operational workflow.

Step 01
Define your use case
Select a bounded engineering, operations, knowledge, or proposal workflow.
Step 02
Prepare your data
Structure the relevant documents, standards, project history, and approved data sources.
Step 03
Prototype
Configure a working workflow and validate it with the responsible technical team.
Step 04
Deploy
Deploy in an agreed cloud, private-cloud, or on-premises environment.

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FAQs

SPAIDER connects to your documents, tools, and approved data sources so teams can work inside existing processes rather than replace them.
Yes. Deployment can be aligned to your security, compliance, and infrastructure requirements.
Start with a workflow that is repetitive, document-heavy, and high value - such as proposal response, knowledge retrieval, or internal engineering support.
SPAIDER grounds outputs in approved sources and records provenance. The Trust Layer adds contradiction screening, confidence signals, consistency checks, and routes flagged results for expert review.
A focused use case, a relevant set of documents or data sources, and a team willing to validate the workflow with us.

Work with SPAIDER.

Discuss a technical pilot, partnership, or investment.

For aerospace teams

Define a technical pilot

Review AI Foundations, SAGAN, and the SPAIDER technology architecture against a bounded workflow and relevant data.

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For investors

Review the company and roadmap

SPAIDER is developing space-technology and AI infrastructure for engineering and mission operations.

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