The business of Engineering Assurance Intelligence
Vision
To become a trusted Engineering Assurance Intelligence layer for critical aerospace, defence and space systems.
Mission
Transform fragmented engineering requirements, configurations and evidence into continuous, traceable and decision-ready assurance from concept to operation.
Operating principles
How we make decisions
01
Evidence before assertion
Every engineering conclusion should be traceable to objective evidence.
02
Human authority
AI may assist; authorized people remain accountable.
03
Configuration fidelity
Evidence is meaningful only in the context of the configuration it proves.
04
Explainability
Readiness decisions must be understandable and reviewable.
05
Security by design
Engineering evidence for aerospace and defence systems requires strong information protection.
06
Interoperability
AEAIP should complement existing systems of record rather than forcing unnecessary replacement.
07
Status honesty
Research, prototypes and roadmap items must never be presented as released capability.
The problem
Readiness is decided on evidence that is expensive to assemble and easy to get wrong
Every critical aerospace programme ends up asking the same question at every gate: can we prove this system is ready? The evidence exists, spread across requirements tools, PLM, test systems, quality systems, spreadsheets and email. Assembling it into a review package is manual, and it is rebuilt for every review.
The costly failure is not missing evidence; it is evidence that looks complete but no longer applies to the configuration under review. It is found late, in audits, test anomalies or acceptance reviews, when fixing it means retest, schedule slip or a waiver.
The buyer is the person accountable for that decision: the Chief Engineer, the head of mission or product assurance, the programme director. The value is fewer surprises at gates, less effort per review, and a readiness position they can defend.
Market context (sourced)
- India opened space activities to non-government entities under the Indian Space Policy 2023 (opens in a new tab), with IN-SPACe (opens in a new tab) as the authorising and promoting agency.
- The Department of Space has stated in Parliament (24 July 2025) that its initiatives converge on the IN-SPACe Decadal Vision target of a USD 44 billion Indian space economy by 2033. Source: Press Information Bureau (opens in a new tab).
- More private teams building spacecraft means more programmes that need verification, review and readiness discipline, often without large assurance departments.
We do not use third-party market-size estimates on this page. Each figure cites an official source and date.
Who is who
Customers, users, buyers, partners and investors are different
| Role | Meaning | Examples (categories) |
|---|---|---|
| Customer | The organisation that adopts and pays for AEAIP. | A satellite manufacturer, space-system integrator or aerospace supplier. |
| User | The people who work in AEAIP every day. | Systems, verification, test, quality, software, cybersecurity and certification engineers; review boards. |
| Economic buyer | The person accountable for the outcome and the budget. | Chief Engineer, CTO / VP Engineering, Programme Director, Head of Mission or Product Assurance. |
| Technology integration ecosystem | Engineering tools AEAIP is intended to connect to. Not partners unless an agreement exists. | Requirements, PLM, MBSE, test, quality and source-control systems. |
| Engineering partner | An organisation GAMYAA works with on engineering problems or validation. | Test laboratories, metrology organisations, systems-engineering specialists. |
| Strategic partner | An organisation that shapes or extends the platform's reach in a market. | Space and defence ecosystem organisations, integrators, research collaborators. |
| Investor | A party that funds the company. Not a customer and not a partner by default. | Strategic or financial investors. |
Business Model Canvas
AEAIP Business Model Canvas
Key Partners
- Aerospace engineering organisations
- Test laboratories
- Metrology and inspection organisations
- Space and defence ecosystem partners
- Requirements / PLM / ALM integration ecosystems
- Systems-engineering specialists
- Certification and assurance specialists
- Academic and research collaborators, where appropriate
Categories. Named partners appear only where a relationship is verified.
Key Activities
- Platform engineering
- Evidence-graph development
- Assurance reasoning
- Aerospace domain modelling
- Framework mapping
- Cybersecurity
- Enterprise integration
- Customer validation
- Product assurance
Value Proposition
- What is verified
- What evidence proves it
- Whether that evidence applies to the current configuration
- What is missing
- What changed
- What must be reverified
- What prevents the next readiness decision
Customer Relationships
- Engineering discovery
- Pilot / proof-of-value
- Enterprise deployment
- Programme integration
- Ongoing assurance workflows
- Support and domain configuration
Customer Segments
- Initial: satellite and spacecraft startups
- Initial: private-space companies
- Initial: aerospace and defence manufacturers
- Initial: space-system integrators
- Initial: aerospace MSMEs and subsystem suppliers
- Initial: quality and mission-assurance organisations
- Later: launch-vehicle organisations
- Later: defence primes and system integrators
- Later: aircraft and advanced-air-mobility programmes
- Later: international aerospace organisations
Key Resources
- Aerospace systems expertise
- Verification and validation expertise
- Quality and manufacturing expertise
- Certification expertise
- Cybersecurity expertise
- Software, data and AI engineering
- Engineering ontology / evidence graph
- Customer programme knowledge
Channels
- Direct enterprise sales
- Engineering pilots
- Strategic partnerships
- Industry ecosystem
- Technical content and engineering education
- Conference and industry engagement
- Partner integrations
Cost Structure
- R&D
- Domain experts
- Enterprise software engineering
- Security
- Integration
- Customer pilots
- Infrastructure
- Testing
- Compliance and legal
- Business development
Revenue Streams (proposed)
- Paid engineering pilot / proof-of-value
- Enterprise annual software subscription
- Private-cloud / on-premise deployment tier
- Controlled / air-gapped deployment (roadmap)
- Integration services
- Specialised assurance and domain packs
- Enterprise support
Proposed model, not final. No prices are published.
Competitive positioning
Keep the engineering systems that already work
| System category | Examples | Primary purpose | How AEAIP intends to complement it |
|---|---|---|---|
| Requirements management / ALM | IBM DOORS / DOORS Next, Jama Connect, Siemens Polarion and similar | Requirements authoring, traceability, verification tracking, change and review workflows. | Use them as the requirements system of record; add configuration-aware evidence validity and gate readiness across tool boundaries. |
| PLM / engineering data | Siemens Teamcenter and other PLM systems | Product structure, parts, revisions and engineering change. | Use their configuration data as the source of truth for what changed and where. |
| MBSE | SysML-based modelling environments | Architecture, behaviour and requirement relationships as models. | Treat model elements and model versions as nodes and evidence context. |
| Test, simulation and lab systems | Test benches, HIL rigs, simulation tools such as MATLAB / Simulink | Producing test and analysis results. | Link results to the configuration and procedure that produced them. |
| Quality, inspection and FAI | QMS, inspection and metrology systems | Manufacturing quality, FAI, nonconformance and corrective action. | Bring product-conformity evidence into system readiness, with DAQIP™ for depth. |
| Issue management and source control | Jira, GitHub, GitLab and similar | Defects, tasks, code and builds. | Link anomalies, fixes and builds to the requirements and evidence they affect. |
| New AI-assisted assurance tools | Emerging requirements-quality, traceability and certification tools | Specific assurance tasks, often within one discipline. | Focus on aerospace, defence and space system readiness with human-authority governance. |
Integration roadmap
Status: RoadmapIntended integration categories: requirements management, ALM, PLM, MBSE, source control, issue management, simulation, test systems, MES, QMS, inspection and metrology systems, and supplier systems.
Future integration targets may include DOORS / DOORS Next, Jama Connect, Polarion, Teamcenter, Jira, GitHub / GitLab, MATLAB / Simulink, and MES and test systems. None is implemented today.
Product names are trademarks of their respective owners and are named only to describe tool categories and possible future integration targets. Naming them does not imply a partnership, endorsement or integration. No unsupported comparison of capabilities is made.
Strategic differentiation
This is where GAMYAA intends to build differentiated engineering depth
- 01Aerospace, defence and space domain focus
- 02Satellites and spacecraft as the first deep vertical
- 03Requirement → Configuration → Evidence → Verification → Readiness
- 04Configuration-aware evidence applicability
- 05Review-gate readiness intelligence
- 06DAQIP™ manufacturing-assurance depth
- 07AirCert AI™ certification-assurance depth
- 08Cybersecurity assurance integrated into engineering evidence
- 09Human-authority governance
- 10Digital twin and simulation evidence integration
- 11Operational telemetry evidence
- 12Predicted → Tested → Flown traceability
- 13Long-term continuous and predictive assurance
Product evolution
A maturity-based roadmap
Current
Stage 1
Evidence Foundation
Requirements · Configuration · Evidence relationships · Verification matrix · Human approval
Status: Research & Architecture
Near-term
Stage 2
Verification Intelligence
Coverage · Gaps · Evidence validity · Readiness views
Status: Research
Research
Stage 3
Continuous Assurance
Change impact · Suspect evidence · Reverification
Status: ConceptStage 4
Cross-Domain Assurance
Manufacturing (DAQIP™) · Certification (AirCert AI™) · Cybersecurity · Software · System integration
Status: Concept
Long-term Vision
Stage 5
Operational Assurance
Simulation · Ground test · Flight telemetry
Status: Long-term VisionStage 6
Predictive Assurance
Risk patterns · Likely verification problems · Readiness threats
Status: Long-term Vision
DAQIP™ is In Development and AirCert AI™ is Planned; their capability roadmaps are on the product roadmap.
Enterprise and international readiness
Built in India. Designed for globally rigorous engineering programs.
- Data residencyCustomer chooses where engineering evidence is stored.Status: Architecture
- Private cloudDeployment in the customer's own cloud tenancy.Status: Planned
- On-premise deploymentDeployment inside the customer's facility.Status: Planned
- Air-gapped / controlled environmentsOperation without external connectivity, for controlled programmes.Status: Roadmap
- Role-based access controlAccess by role, programme and data classification.Status: Architecture
- Audit trailEvery change, suggestion and approval recorded.Status: Architecture
- Data provenanceOrigin and integrity of every evidence record.Status: Architecture
- EncryptionIn transit and at rest.Status: Architecture
- Single sign-onIntegration with enterprise identity providers.Status: Planned
- Export-control awarenessHandling of controlled technical data by classification and jurisdiction.Status: Architecture
- Customer data isolationNo commingling of one customer's engineering data with another's.Status: Architecture
Architecture = an architecture principle being designed in. Planned = a planned enterprise requirement. No certifications such as SOC 2, ISO/IEC 27001 or CMMC are held or claimed.
About this page
GAMYAA AeroSystems — Engineering Assurance Research · Designed by Sudarshana Karkala, EV.ENGINEER™ (opens in a new tab) · Last reviewed