Founder-led software company building operational systems.
Platform
A focused software company building operational systems that are structured, traceable, and scalable.
Aegis SaaS is building cloud-native software for workflows where field execution, evidence capture, approvals, reporting, and auditability all need to work as one system instead of scattered tools and manual follow-up.
Workflow systems
- Structured task execution
- Approval states and transitions
- Operational accountability across roles
Evidence and reporting
- Photo and reading capture
- Digital signatures and signed records
- PDF generation and historical retrieval
Cloud-native foundation
- Backend APIs and durable system of record
- Secure evidence storage
- Deployment and reliability discipline
Product
Solar Sanchalak is the first product built on the Aegis SaaS direction.
Solar Sanchalak is a mobile-first workflow and evidence platform for solar AMC teams. It is designed to reduce paperwork friction, improve field evidence quality, speed approvals, and create a stronger operational record across sites.
Current field reality
Paper checklists and handwritten readings
Photos scattered across devices
Manual report preparation
WhatsApp-driven follow-up
Business impact
Slower approvals
Delayed payments
Weak retrieval
Poor analytics
Why This Team
Built from operator experience, not from assumptions.
The product emerged from real EPC and AMC execution experience inside Nogginhaus Energy India Limited, where technician workflow, evidence quality, approval bottlenecks, and reporting friction were seen directly in operations.
Operating context
Solar Sanchalak did not start as a generic field-service template. It comes from direct exposure to multi-site solar maintenance realities and the documentation burden that sits between a completed visit and a credible approved record.
Why that matters
- Field pain points observed directly
- Approval bottlenecks understood firsthand
- Reporting needs shaped by actual site operations
- Software logic tied to workflow reality
Workflow
A closed-loop workflow from field visit to approved record.
The system is designed to keep assignment, execution, evidence, validation, structuring, approval, and retrieval connected end to end instead of relying on disconnected files and manual follow-up.
Foundations
Meaningful product foundations are already implemented.
The current state is beyond a concept page. Workflow, reporting, notification, data preparation, and reliability layers already exist in the system.
Workflow
- Multi-tenant backend model
- User and role foundations
- Work-order base
- Technician submission flow
Evidence and reporting
- Digital signature ingestion
- PDF report generation
- Approval link and sign-off flow
- Report regeneration after signing
Reliability
- Retry-aware async hardening
- Correlation IDs
- Stronger regression gates
- Cloud-native CI/CD
Notifications
- Notification engine foundation
- Email delivery integration
- Approval-state transitions
- Secret-management framework
Generation foundation
- Inverter inventory setup
- Reading capture APIs
- Baseline, delta, and anomaly logic
- Report data preparation
AI-Assisted Evidence
AI is being used where it reduces friction and improves trust.
The aim is not decorative AI. The AI work here supports cleaner field evidence capture while preserving human review when confidence is low.
Active roadmap
- OCR-assisted inverter serial extraction
- OCR-assisted reading extraction during visits
- Confidence scoring and review-needed states
- Geo-validation of field evidence
- Offline-capable evidence refinement
Principle
AI is being applied as assistive infrastructure for evidence capture and validation, not as a replacement for operational judgment. The workflow keeps low-confidence cases reviewable and traceable.
Architecture
Offline-capable execution with a disciplined system of record.
The architecture is intentionally high-level here: enough to show serious product thinking without exposing internal interfaces or implementation details on the public homepage. A dedicated architecture page now carries the fuller system-context view.
System flow
Assigned Work Orders
Mobile Capture
Offline Draft / Sync
Backend APIs
Postgres + Storage
Signed Reports
What matters here
- Weak-network operation support
- On-device assistance for capture UX
- Cloud storage for evidence files
- Postgres as final source of truth
- Backend validation and persistence
- Cloud deployment discipline
Progress
The product is progressing through staged capability delivery.
The roadmap is presented in simple operational language here. More detailed implementation material can live in product docs instead of the homepage.
Delivered
- Approval, reporting, notification, and secret foundations
- Resilience and retry hardening
- Correlation IDs and validation gates
- Inverter reading and generation foundation
Active
- Geo-validation layer
- OCR evidence layer
- Offline-first mobile evidence refinement
- AI-assisted capture quality improvements
Next
- Richer analytics
- Stronger reporting presentation
- Performance and savings layers
- Management-level visual summaries
Commercial Value
Built for technicians, managers, customers, and payment workflows.
The same workflow depth that improves field execution also improves review speed, record quality, and payment confidence for the people downstream.
For technicians
- Less paperwork
- One-time structured evidence capture
- Less repetitive follow-up
For managers
- Better multi-site visibility
- Faster verification
- Retrievable maintenance records
For customers
- Cleaner reports
- Better evidence
- More credible sign-off experience
For payments and reporting
- Less paperwork-review delay
- Faster approval cycle
- Stronger foundation for analytics
Business Model
A B2B SaaS product built from an operator problem.
The product is intended for recurring operational software use. Its value compounds with organization-wide adoption, site count, reporting depth, and analytics built on top of reliable field records.
Who it serves
- Solar EPC firms with AMC operations
- Multi-site maintenance operators
- Supervisors and operations managers
- Customers reviewing completion evidence
Platform logic
Work assignment, evidence capture, validation, review, reporting, and auditability are not limited to one narrow use case. Solar AMC is the first wedge, with room to extend into adjacent field-maintenance systems later.
Founder
Founder
Manish Soni
Founder, Aegis SaaS
20+ years in telecom systems, enterprise architecture, and large-scale platform design. Currently building Aegis SaaS and Solar Sanchalak.
Building Aegis SaaS with a focus on secure platform design, operational workflows, and real-world system execution shaped by industry experience.
Documentation
See the product direction in detail.
Explore documentation, architecture, and product foundations at docs.aegis-saas.com. The docs site is currently under construction.
View Docs
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Public application interfaces are still under development. Internal platform APIs are not publicly exposed.