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Growth Stage · India-First · AI-Native

Human intelligence
is a problem nobody
is solving yet.

We are not chasing a market. We are creating a category — Human Intelligence Infrastructure — in the world's largest democracy, with the world's youngest workforce, at the precise moment that AI has made the infrastructure technically buildable. The question is not whether this category will exist. It already does. The question is who builds it at scale.

₹48Cr+
Annual Recurring Revenue
↑ 182% YoY · FY25
134%
Net Revenue Retention
Clients expand, not churn
94%
Gross Revenue Retention
24-month client cohort
72%
Gross Margin
↑ from 61% FY24
8.2×
LTV / CAC Ratio
Payback: 14 months
† All metrics are unaudited directional figures and projected. Full financials available in the data room under executed NDA. This page does not constitute an offer of securities.
The Market

The problem is large.
The infrastructure gap is
almost total.

India has the world's largest K-12 system, its third-largest higher education system, and a corporate workforce growing faster than any comparable economy. Every one of these institutions has the same invisible problem: they do not know what the people inside them are actually capable of.

₹28K Cr
Indian corporate L&D market — structured learning spend that currently produces no measurable capability intelligence and generates almost no demonstrable ROI evidence at the board level.
NASSCOM · India L&D Market Report · 2024
260M
K-12 students in India — assessed by one standardised instrument, once per term, with no continuous cognitive profiling and no intelligence infrastructure connecting learner behaviour to learning outcome.
UDISE+ · Ministry of Education · 2024
$847B
Global addressable market for Human Intelligence Infrastructure — including EdTech, HR-Tech, workforce analytics, and institutional knowledge management across 40+ countries at Astraal's current price architecture.
Astraal Research · TAM Model · 2025

"The question is not whether Indian institutions need intelligence infrastructure. Every CHRO, every Principal, every Vice Chancellor we have spoken to in four years has confirmed that the need is urgent. The question is whether the infrastructure can be built well enough, deployed quickly enough, and priced accessibly enough that it reaches the scale of the problem. That is the bet Astraal is making — and the evidence of the last four years suggests it is the right one."

FOUNDER & CEO · ASTRAAL MIND SOLUTIONS
WHY THE MOMENT IS NOW
01
The AI Infrastructure Moment

Large language models, knowledge graphs, and behavioural AI crossed the threshold of practical deployability in 2021–2022. Before that, building Human Intelligence Infrastructure at scale was theoretically possible but economically irrational. Astraal was founded at the precise moment the infrastructure became buildable.

02
India's Demographic Dividend Window

India's median age is 28. The workforce will peak in size and youth concentration by 2035. The institutions managing that workforce are visibly failing to develop its capability. The political, economic, and social pressure to solve this is compounding year over year.

03
The Post-COVID L&D Reset

Every enterprise L&D function in India was forced to reconstruct its approach between 2020 and 2022. The reconstruction happened on digital-first infrastructure — creating an integration surface for Astraal that did not exist before the pandemic reset.

04
Regulatory Tailwind

NEP 2020, the DPDP Act 2023, NASSCOM Future Skills, and the National Skills Qualification Framework are all creating policy-driven demand for exactly the kind of capability intelligence Astraal provides — at the school, university, and enterprise level simultaneously.

Competitive Moats

Not first-mover advantage.
First-builder advantage.

Being first matters less than building the thing that is hardest to replicate. Astraal has six structural advantages that compound with time — the longer the company runs, the harder it becomes to displace.

01
The 7 EQ Framework — Proprietary Intellectual Architecture
No competitor has a theoretically grounded, multi-disciplinary framework for what "learning" and "capability" mean. The 7 Existential Questions Framework™ is defensible IP — developed over 3 years with four Indian research institutions and reviewed annually by a 12-person Scientific Advisory Board spanning 11 disciplines.
4 research partnerships
Institute. Corporates
02
The Data Flywheel — A Widening Intelligence Gap
Every institution that joins Astraal makes its intelligence better for all subsequent clients. 200+ institutions, 18 months of longitudinal data, 340,000+ individual intelligence profiles — this dataset is now the most comprehensive institutional intelligence dataset in India. It cannot be replicated without years of deployment. It improves continuously.
340,000+
Individual intelligence profiles
03
94% Gross Retention — Infrastructure Stickiness
When a product becomes infrastructure, clients don't leave. Astraal's 94% gross retention at 24 months is among the highest in Indian enterprise SaaS. The cost of removing Astraal — retraining staff, losing institutional intelligence, reverting to darkness — is consistently higher than the cost of staying.
94%
Gross revenue retention · 24 months
04
The Expansion Architecture — 134% NRR
Astraal clients don't just stay. They expand. 134% net revenue retention means the average client generates 34% more revenue in Year 2 than Year 1 — without a new sale. The product architecture is designed as a modular expansion system: one product leads to two, two lead to four. The land-and-expand motion is structural, not opportunistic.
134%
Net revenue retention
05
Research Credibility — A Scientific Advisory Board Nobody Else Has
12 advisors across 11 disciplines, including professors from IIT Bengaluru, IIM Ahmedabad, TISS Mumbai, and NIMHANS. Annual public ethics audits. An open research programme. This is not window dressing — it is the governance architecture that gives CHROs, CLOs, and Vice Chancellors the institutional confidence to deploy Astraal at scale.
12
Advisors · 11 disciplines · Annual public audit
06
The API Moat — An Ecosystem of Embedded Intelligence
Technology partners embed Astraal's intelligence inside their own products. Darwinbox, Keka, and 6 other HRMS/LMS platforms are in live or beta integration. As Astraal's intelligence becomes embedded inside products that 10× more institutions already use, the distribution moat compounds at the same rate as the data flywheel.
8
Technology partners · Live or beta integration
Business Model

Four revenue streams.
Each one recurring.

Astraal is not a one-product subscription business. It is a multi-stream intelligence company — SaaS subscriptions, API licensing, data intelligence licensing, and professional services that are embedded in client relationships, not bolted on. Every stream is contractual and recurring.

REVENUE STREAM 01
SaaS Subscriptions
Annual institutional contracts for Astraal's 7 product suite. Priced per-learner or per-seat, with tiered pricing across K-12 (₹800–2,400/student/year), Higher Education (₹1,200–3,600/student/year), and Enterprise (₹4,800–18,000/employee/year). Contracts are annual, auto-renewing, and pre-paid.
68%
of total ARR
REVENUE STREAM 02
API & Technology Licensing
Astraal's intelligence APIs — Capability Genome™, Human Intelligence Graph™, Polaris potential scores — licensed to technology platforms (HRMS, LMS, ERP) that embed them inside their own products. Priced as API calls + monthly platform fee. Currently 8 live or beta platform integrations.
14%
of total ARR · growing fastest
REVENUE STREAM 03
Intelligence Data & Research
Anonymised, institution-approved intelligence datasets licensed to research institutions, consulting firms, and government bodies. Astraal holds the largest institutional intelligence dataset in India — an increasingly valuable asset as research on Indian workforce development intensifies.
9%
of total ARR · highest margin
REVENUE STREAM 04
Professional Services (bounded)
Implementation consulting, custom integration services, and intelligence framework customisation — bounded at 15% of revenue by design, to prevent a services-heavy model that would compress margins. Services that enable SaaS expansion, not services as a revenue strategy.
9%
of total ARR · deliberately capped
Projectd Unit Economics · FY2026 (Directional)
Average Contract Value (ACV)
₹24L / year
↑ from ₹18L FY24
Gross Margin
72%
↑ from 61% FY24
Customer Acquisition Cost (CAC)
₹34L
↓ improving
CAC Payback Period
14 months
↓ from 19 months FY24
LTV / CAC Ratio
8.2×
↑ from 5.4× FY24
Net Revenue Retention (NRR)
134%
stable → improving
Gross Revenue Retention
94%
24-month cohort
Average Revenue per Client (ARPC)
₹38L
multi-product expansion
† Unaudited. Full audited financials in data room.
WHY UNIT ECONOMICS ARE IMPROVING
Product-market fit compounding
The cost to sell and implement decreases as the category becomes better understood. Clients who discovered Astraal via word-of-mouth from existing clients convert 2.4× faster than outbound pipeline, at 60% of the CAC.
Multi-product expansion from existing clients
134% NRR means expansion revenue from existing clients now funds a significant portion of new client acquisition cost — compressing the effective CAC on a blended basis.
API revenue at near-zero marginal cost
The data intelligence and API licensing streams run at 85%+ gross margin. As these streams grow as a proportion of revenue, blended gross margin improves structurally.
PATH TO PROFITABILITY
Astraal is on a clear path to EBITDA breakeven at 105% ARR — projected at current growth rates in 18–22 months from close of current round. It is a market leadership round.
Traction

Four years of building.
The numbers say the rest.

We don't narrate the traction. We show it. The ARR chart below covers the entire life of the company. The metric cards below that cover the dimensions that matter most to institutional investors in growth-stage AI SaaS.

PROJECTED ANNUAL RECURRING REVENUE · FY2024 → FY2026E (₹ CRORE · DIRECTIONAL)
₹2.4Cr
FY24
₹9.1Cr
FY25
₹17Cr
FY26
₹48Cr+
FY27
₹110Cr+
FY27E
† FY26E is management projection at current growth rate. Dashed bar indicates forward estimate. All figures unaudited and directional.
ARR GROWTH YoY
182%
Annual Recurring Revenue growth FY24 → FY25. Driven by new client acquisition (60%) and existing client expansion (40%).
↑ Third consecutive year above 150% growth
CLIENT COUNT
200+
Institutional clients across K-12, higher education, and enterprise as of May 2025. Adding 8–12 new institutions per month at current run rate.
↑ From 68 clients FY23 to 200+ FY25
NET REVENUE RETENTION
134%
Revenue from existing clients in Year 2 as a percentage of their Year 1 ARR. Driven by multi-product expansion within accounts — the core growth flywheel.
One of highest NRR rates in Indian enterprise SaaS
PAYBACK PERIOD
14 mo
Customer Acquisition Cost payback period. Improving from 19 months FY24 — as brand recognition and referral velocity increase, CAC compresses structurally.
↓ From 19 months FY24 · Target: 10 months FY26
GROSS MARGIN
72%
Blended gross margin across all four revenue streams. Improving structurally as API and data intelligence streams (85%+ margin) grow as a share of revenue.
↑ From 61% FY24 · Target: 78% FY26
TEAM
160+
Employees across engineering, AI research, learning science, and domain expertise. Revenue per employee: ₹30L+ and improving with scale-driven efficiency.
Revenue/employee ↑ 44% FY24 → FY25
PROJECTED GROSS REVENUE RETENTION BY COHORT YEAR · % OF ORIGINAL ARR STILL ACTIVE
FY24 Cohort · 12 months later
100%
FY25 Cohort · 24 months later
96%
FY26 Cohort · 36 months later
94%
FY26 Cohort · 12 months later
100%
FY26E Cohort · 24 months later
95%
FY27E Cohort · 12 months later
100%
94% gross revenue retention at 36 months — a product that institutions treat as infrastructure, not software.
The Investment Case

Six reasons.
No superlatives required.

The most honest investor case is a short one. Here is why Astraal is a compelling institutional investment at this stage — and here are the risks. Investors who are right for Astraal should find both sections equally informative.

THESIS 01
Category Creation at the Right Moment
Astraal did not enter a crowded SaaS category. It created a new one — at the precise intersection of AI infrastructure maturity, India's demographic moment, and institutional willingness to pay for intelligence. First-category-builder advantage is the most durable moat in software.
THESIS 02
Clean Growth with Improving Fundamentals
182% ARR growth, 72% gross margin, 8.2× LTV/CAC, and a CAC payback period improving from 19 to 14 months. The unit economics are not just good — they are improving faster than the growth rate. This is the signature of a business approaching its most efficient form.
THESIS 03
A Data Asset That Compounds with Time
340,000+ intelligence profiles. The largest institutional intelligence dataset in India. This dataset becomes more valuable with every new institution — it improves the product, enables research licensing, and creates a barrier to imitation that no amount of capital can rapidly overcome.
THESIS 04
The Expansion Architecture is Built In
134% NRR is not a metric — it is an architectural property. Astraal's product suite is designed as a modular expansion system: one product leads to two, two lead to four. The majority of FY26 revenue is already contracted or highly predictable from existing client expansion.
THESIS 05
Southeast Asia is Already Proving Out
The Singapore office, launched in 2024, has produced the company's highest average contract values and shortest sales cycles — because the institutional pain point in SEA markets is identical to India, and Astraal arrives with 4 years of Indian institutional evidence. The playbook is written. The capital deploys a proven model.
THESIS 06
The Team Has Done This Before
Vikram Nambiar built L&D systems for Fortune 500 companies for 12 years before founding Astraal. Preethi Sundaram led knowledge graph systems at a top-3 Indian AI lab. Aravind Krishnamoorthy was CPO at India's largest EdTech platform. This team has earned the right to the conviction it is showing.
RISK MITIGATION
COMPETITION
Well-capitalised global players (Cornerstone, SAP SuccessFactors, Workday) could build adjacent capability and enter the Indian market with existing institutional relationships.
Astraal's data flywheel, research credibility, and India-specific depth create a moat that takes years to replicate. Global platforms have consistently failed to localise for Indian institutional complexity — Astraal was built inside it.
BURN RATE
At current growth rate, the Series C capital provides 24–30 months of runway. A significant growth slowdown could compress this timeline.
Breakeven projected at ₹80Cr ARR — achievable within 18 months at current trajectory without capital. The Series C accelerates the ceiling, not the survival.
KEY PERSON
The founding team holds significant institutional knowledge. Departure of key founders would create management continuity risk.
The leadership team is now 8 people deep, with two SVP-level hires in FY25. Succession plans exist for all critical roles. ESOP vesting is structured for 4-year retention.
REGULATORY
The DPDP Act 2023 and emerging AI regulations could impose compliance costs or restrict data use cases material to Astraal's business model.
Astraal was built for DPDP compliance from the ground up. The legal team monitors regulatory development in all operating markets. The advisory board includes an ethics specialist.
MARKET TIMING
Indian enterprise L&D purchasing cycles are long. A macro slowdown could delay sales cycles and compress new client acquisition.
94% gross retention means existing client revenue is highly stable even if new client acquisition slows. The business is resilient to macro slowdown at current scale.
ESG & Societal Impact

The business case and the
social case are the same case.

Intelligence infrastructure for Indian institutions is not a luxury product serving an elite. It is the infrastructure for one of the most consequential development challenges on earth: making India's 1.3 billion people visible to the institutions responsible for their growth.

Education Equity
20 government schools in Karnataka receive Astraal LXP at no cost — covering 14,000 students whose institutional experience has never included intelligence-mapped learning. Target: 50 schools by 2027.
14,000
Students in free government school programme
Gender in Tech
54% of Astraal's technical leadership roles are held by women — not as a quota but as the result of structured recruitment practices that remove the proxies for intelligence that systematically exclude women from technical hiring pipelines.
54%
Women in technical leadership roles
Tier 2 India
36% of the engineering and product team is based in Tier 2 cities — Mysuru, Hubli, Mangaluru, Coimbatore, Visakhapatnam. Revenue per employee improves. Cost of living is lower. Talent is abundant and underserved.
36%
Team in Tier 2 cities — permanent remote-first
Open Research
All Astraal research is published freely at research.astraal.ai. No journal paywalls. Our findings belong to the institutions that inspired them. This is also a go-to-market strategy — open research builds the scientific credibility that converts institutional buyers.
28
Papers published or in review · 2022–2025
Carbon Commitment
Astraal is cloud-native on AWS and Azure, with a renewable energy commitment for all compute. No owned physical infrastructure. Net-zero operations commitment by FY2027.
Net-zero
Operations commitment · FY2027
Transparent AI Governance
Annual public AI Ethics & Validity Audit. Written dissent protocol on the Advisory Board. Responsible AI Pledge signatory. Every intelligence output is explainable — no black-box decisions about people. Ever.
Annual
Public ethics audit · all findings published
How to Engage

Four steps from
this page to
a decision.

We run a clean process. No auction theatre. No artificial scarcity. The round is open to institutional investors, family offices, and strategic capital who understand the category, believe in the thesis, and can add value beyond capital. We are selective because the right investor makes the company better. The wrong one makes it worse.

01
NDA Execution

Submit the form on this page or email investor@astraal.ai. We will send a mutual NDA within 24 hours. Executed NDA gates full data room access. We do not share financials without an executed NDA.

24 hours
02
Data Room Access

Following NDA execution, you receive access to our Notion-based secure data room — audited financials (FY22–FY25), cap table, client contract structure, product technical documentation, and advisory board governance records.

72 hours after NDA
03
Management Presentation

A 90-minute session with Vikram Nambiar (CEO) and Preethi Sundaram (CTO). We come with data, not slides. We answer every question directly. We expect the same from investors we spend time with.

Scheduled within 2 weeks
04
Term Sheet & Diligence

If there is mutual conviction, we move to term sheet. Our standard diligence process takes 3–4 weeks for institutional investors. We have structured our data room to make this efficient. Target close: Q3 FY2026.

3–4 week diligence period
Investor Relations Contact
All investor enquiries are handled directly by the founding team. We do not route investor conversations through PR agencies or junior staff. If you reach out, a founder responds.
V
Founder & Chief Executive Officer
INVESTMENT DECISIONS · STRATEGIC PARTNERSHIPS
S
Chief Revenue Officer
COMMERCIAL DUE DILIGENCE · CLIENT REFERENCES
SECURE
RESPONSE
Within 48 hours on working days
LEGAL DISCLAIMER · PLEASE READ
This page is for informational purposes only and does not constitute an offer, solicitation, or invitation to subscribe for or purchase any securities. All financial metrics are unaudited, directional, and subject to change. Forward-looking statements involve risks and uncertainties. This material is intended only for sophisticated investors who are capable of evaluating the merits and risks of the investment. Astraal Mind Solutions Private Limited is incorporated in India (CIN: U72900KA2021PTC147382). Investment in growth-stage companies carries substantial risk of loss. Please conduct your own due diligence and consult qualified advisors before making any investment decision.

"We are not asking investors to believe that Astraal will build something. We are asking them to look at what we have already built — and to make a rational judgment about what that trajectory implies. The conviction is already there, in the data."

FOUNDER & CEO · ASTRAAL MIND SOLUTIONS PRIVATE LIMITED · MAY 2026
Begin Investor Conversation → About the Company
Company Overview Advisory Board Partner Ecosystem All 8 Products Research & Publications
₹48Cr+
ARR · FY25
182%
YoY Growth
134%
Net Rev. Retention
200+
Institutional Clients
₹350Cr
Series C Open