Digantara hits $200M valuation after Series B

Spacetech startup Digantara hits $200 Mn valuation after Series B funding

India’s spacetech story just notched up a major milestone as Digantara’s latest Series B round pushes its post-money valuation to roughly $200 million. At the ai world organisation, we track such inflection points because deeptech scale-ups in space surveillance increasingly intersect with AI, data intelligence, and national-security-grade analytics—areas that regularly shape discussions at the ai world summit and across ai world organisation events, including ai conferences by ai world and ai world summit 2025 / 2026.

Digantara, a space surveillance and intelligence platform headquartered in Bengaluru, announced a $50 million Series B led by Reliance, with participation from 360 One, SBI Ventures, upGrad founder Ronnie Screwvala, and existing backers Peak XV Partners and Kalaari Capital. While the company itself kept the disclosure limited to the overall amount and investor names, details from regulatory filings outline how the round was structured and what it implies for valuation and ownership. From an ecosystem lens, this is a signal moment: capital is continuing to move toward companies building core space infrastructure and intelligence layers, not just launch services or satellite imagery.

This development is also a practical reminder of how modern “AI + space” businesses are being valued: not merely on current revenue, but on defensible data advantages, infrastructure buildout, long-duration contracts, and the strategic importance of space situational awareness. That framing matters to founders and operators we engage with through the ai world organisation, because it helps clarify what institutional investors and strategic corporates are willing to fund at scale—and why. It also reinforces why the ai world summit and ai conferences by ai world place growing emphasis on applied intelligence, resilience, and real-world deployment, not only model demos.

Series B: how the $50M round was structured

According to filings referenced in Entrackr’s report, Digantara’s board allotted 8,451 Series B preference shares at an issue price of Rs 5,14,793 per share, raising Rs 435 crore (approximately $50 million). Reliance Business Ventures led the round with Rs 261 crore (about $30 million). 360 One invested Rs 87 crore (about $10 million), while SBI Ventures contributed Rs 26 crore (about $3 million).

The round also included participation from existing investors, with Peak XV Partners investing Rs 30.47 crore (about $3.5 million) and Kalaari Capital investing Rs 26 crore (about $3 million). Ronnie Screwvala joined with an investment of Rs 4.37 crore (about $500K). Together, the round composition is a blend that founders often aim for: a strategic leader, institutional financial participants, and continuing support from earlier funds—an approach the ai world organisation frequently highlights when discussing durable fundraising strategies at the ai world summit and ai world organisation events.

Entrackr’s analysis estimates Digantara’s post-money valuation at about Rs 1,740 crore (around $200 million), nearly tripling compared to the Rs 590 crore valuation when it raised funding involving Aditya Birla Group and SIDBI in February 2024. In plain terms, the market is pricing in forward value—belief that the company’s platform, data capability, and deployment roadmap can translate into meaningful long-term outcomes. For readers following ai world summit 2025 / 2026 themes, this is a case study in how infrastructure-first deeptech companies are being underwritten even when revenue is still early.

What Digantara does—and why SSA is a high-stakes category

Digantara was founded in December 2018 by Anirudh Sharma. The company positions itself as a space situational awareness (SSA) player, building space- and ground-based infrastructure that supports safe and secure space operations. Its product direction centers on delivering data-driven orbital insights to governments, defence agencies, and commercial customers globally.

SSA is not a “nice-to-have” layer anymore; it is foundational to operating in increasingly crowded orbits where collision risk, debris tracking, and operational security can make or break missions. This is also where AI becomes structurally important: orbital insight at scale requires continuous sensing, high-volume data processing, prediction, and decision support, rather than one-off analytics. From the ai world organisation perspective, that is exactly the kind of applied intelligence story that resonates across ai conferences by ai world—AI that is mission-critical, high-signal, and designed for operational environments.

If you’re mapping this to a business lens, Digantara’s category sits at the intersection of infrastructure and intelligence: building the “pipes” (sensors, satellites, ground systems) and the “brain” (orbital insights, decision-grade outputs). That blend often requires long timelines, heavy engineering, and patient capital, which is why late-stage funding is a meaningful indicator of conviction in the roadmap. It also explains why strategic investors can be especially relevant in such rounds, because they can bring ecosystem access, partnerships, and commercial pathways that pure capital alone cannot.

Ownership snapshot, ESOP pool, and financial context

Following the new financing, Kalaari Capital remains the largest shareholder with a 21.76% stake, while Reliance holds 15%, and Peak XV Partners holds 11.61%, according to Entrackr’s analysis. Participating investors 360 One and SBI Ventures hold 5% and 1.5% stakes, respectively, while co-founders Anirudh Sharma, Rahul Rawat, and Tanveer Ahmed collectively retain 27.26%. The company also has an ESOP pool of 6.6%, valued at around Rs 115 crore (about $13 million).

For startup operators reading this through an ai world summit 2025 / 2026 lens, the ESOP number is not a footnote—it is a signal about talent strategy and the need to retain and attract specialized engineering and research talent in a globally competitive category. In sectors like space surveillance, teams are not interchangeable; domain experience, systems thinking, and reliability engineering matter as much as speed. This is one reason the ai world organisation keeps talent, leadership, and practical execution at the center of ai world organisation events, even when the headline conversation is “AI.”

On the financial performance front, Entrackr reports that Digantara remained in a pre-revenue stage in the fiscal year ended March 2025, with operating revenue of Rs 50 lakh and losses of Rs 20.9 crore in the same period. Those numbers underline a reality that many deeptech founders already know: early financial statements often reflect heavy investment cycles rather than near-term profitability, especially when the product is infrastructure-led. The key question for markets becomes whether such investment translates into compounding capability—stronger data, better models, more reliable systems, and deeper customer integration over time.

India’s spacetech funding momentum—and why this matters for AI builders

Digantara’s fundraise sits alongside other spacetech capital raises mentioned in Entrackr’s report, including Ethereal Exploration ($20.5 million), CoreEL Technologies ($30 million), and Agnikul ($17 million), among others. Entrackr also notes that in August last year, the Union government announced investment support of Rs 211 crore (around $25 million) under the Fund of Funds for Startups scheme to support spacetech startups. The combined picture is clear: the sector is seeing both private capital and public support moving into the pipeline.

For the ai world organisation, this is important because spacetech is rapidly becoming an “AI-native” arena, whether we label it that way or not. Surveillance, intelligence, anomaly detection, risk prediction, and secure decision systems are not side features—they are core product value, and they scale with better data and better deployment. That is why, as we shape conversations around the ai world summit and broader ai world organisation events, we look beyond generic AI narratives and focus on where AI is becoming embedded into the infrastructure that economies and governments will depend on.

If you are a founder, investor, marketer, or ecosystem operator, Digantara’s story also provides a communication lesson: the market rewards clarity on what problem you solve, who your customer is, and why the capability is defensible. SSA is a sharply defined category with clear end-users and real-world consequences, which makes it easier to understand why scale capital can flow even when near-term revenue is limited. As you prepare for ai world summit 2025 / 2026 circuits and ai conferences by ai world, this is also a reminder that “AI positioning” works best when it is grounded in concrete outcomes, not buzzwords.

At the same time, the funding mechanics show that serious rounds are increasingly about more than optics: share pricing, preference structures, cap table outcomes, and ESOP allocations all tell a story about how a company is being built for the long run. For operators, that means your narrative must match your operating reality—what you are building, how long it will take, and how you’ll translate capability into contracts, partnerships, or platform scale. These are themes we repeatedly see founders and leadership teams workshop at the ai world summit, especially in tactical sessions focused on execution and growth systems.

Finally, for readers who want to plug into the larger innovation network: The AI World Summit Asia 2026 is scheduled for May 28, 2026 in Singapore, and it is presented as part of The AI World Organisation’s global summit and awards ecosystem. The same event page highlights summit tracks such as an “Agentic AI World Summit – CIO Edition,” along with dedicated fintech, edtech, and marketing tracks. If spacetech is on your roadmap—whether as a builder, partner, or buyer—engaging with cross-industry AI leaders is increasingly valuable, which is why we position the ai world summit and ai conferences by ai world as places to connect applied AI to real operational domains.