In a landscape where finance, technology, and artificial intelligence are rapidly converging, Arjun Sethi has emerged as one of the few visionaries capable of steering the future across all three domains. Known initially for co-founding Tribe Capital, and later taking on the role of Co-CEO at crypto giant Kraken, Sethi is now pushing into a new frontier—AI-powered due diligence—through his latest endeavor, the Termina Platform.
Sethi’s journey is not just one of career evolution—it’s a case study in anticipating the next wave before it crests. With Termina, he’s betting that AI isn’t just a productivity tool or data processor—it’s the next fiduciary engine of modern finance. And the bet is already attracting attention.
From Tribe to Termina: A Career of Calculated Leaps
Arjun Sethi rose to prominence as one of Silicon Valley’s most unconventional venture capitalists. As a co-founder of Tribe Capital, he helped pioneer a quantitative approach to startup investing, leveraging proprietary algorithms and machine learning models to identify early-stage winners like Bolt, Carta, and Instacart.
His transition to Kraken in 2023 as Co-CEO surprised some in the VC world, but in hindsight, it was emblematic of his broader belief: that decentralized finance and intelligent systems are destined to collide. At Kraken, he scaled operations globally, improved compliance structures, and introduced on-chain AI auditing systems that earned regulatory praise.
Now, in 2025, Sethi is doubling down on intelligence—but this time, artificial intelligence—with Termina.
The Genesis of Termina
The idea for Termina emerged from a problem Sethi observed repeatedly as a VC and executive: due diligence is broken.
Traditional due diligence processes—whether for venture deals, M&A, or crypto token listings—are still painfully manual, slow, and inconsistent. Market signals get lost in spreadsheets. Bias seeps into analysis. Risk assessments are often reactive rather than predictive.
Sethi’s solution: build a real-time, AI-native platform that ingests, interprets, and reports on due diligence inputs at scale. And so Termina was born.
Launched in stealth in late 2024 and publicly unveiled in Q2 2025, Termina is being described by insiders as “the Bloomberg Terminal for AI diligence”—a unified intelligence layer for investors, compliance teams, and analysts.
What Termina Does
At its core, Termina is a suite of AI-driven tools designed to modernize the way organizations evaluate financial assets, startups, protocols, and even sovereign entities.
Key Capabilities:
- Live Entity Monitoring: Continuously scrapes structured and unstructured data from public filings, cap tables, blockchain records, and social sentiment to provide up-to-the-minute snapshots of risk.
- AI Legal Intelligence: Uses LLMs trained on private equity and venture deal docs to identify red flags, uncommon clauses, or missing covenants.
- Founder Vetting Engine: Aggregates digital footprint, previous funding performance, and trustworthiness scores using behavioral analytics.
- Crypto Risk Indexing: Applies AI forensic tools to tokenomics, liquidity, and smart contract vulnerabilities, offering a real-time score of crypto asset health.
What makes Termina stand out is its “adaptive explainability layer”—an LLM-native interface that not only gives you the “what” but the “why.” When the system flags a deal, it explains its reasoning in natural language, backed by citations and probability scores.
Who’s Using It?
Since launch, Termina has already secured clients across VC, hedge funds, compliance desks, and fintech startups. Major names—while under NDA—include top-tier private equity firms and two large European banks using it to assess DeFi counterparty risk.
In the startup space, early-stage firms are using Termina to streamline internal due diligence, saving weeks of analyst work. Others have deployed Termina’s scoring system as a preliminary filter before assigning a human team.
Several DAOs and crypto foundations have also integrated Termina to vet grant recipients and investment proposals, using the platform to align on-chain governance with AI-derived insights.
Building with Intelligence and Integrity
Arjun Sethi’s vision for Termina isn’t just about speed or data—it’s about trust.
In interviews, he has emphasized the importance of transparency in AI reasoning, especially in finance. Termina’s systems are built to be auditable, with every AI conclusion traceable to source data and logic chains. The platform also includes bias detection and adversarial testing tools to ensure outputs are fair and reliable.
The company has assembled a cross-disciplinary team of former regulators, engineers from Palantir and Stripe, AI researchers, and legal scholars. The ethos is clear: build useful intelligence, but ground it in fiduciary ethics.
Funding and Future
Termina recently closed a $150 million Series A round led by former Tribe Capital LPs, with participation from sovereign wealth funds and strategic fintech partners. The round values the company at $900 million pre-product revenue, indicating enormous investor confidence in both the vision and Sethi’s leadership.
The roadmap for 2025–26 includes:
- Multilingual Due Diligence Reports for global deal teams
- Plug-and-Play APIs for fund workflows and KYC/AML tools
- Real-time Collaboration Layer for cross-border diligence
- Quant-Backed Deal Prediction Models for M&A strategy and fund-level LP reporting
There are even rumors that Termina could expand into public market evaluations, competing with incumbents like Moody’s and S&P—but powered entirely by AI.
Sethi’s Broader Play: Redefining the Modern Analyst
If Tribe Capital was about disrupting venture capital with data, and Kraken was about institutionalizing crypto, then Termina is Sethi’s effort to redefine what it means to be an analyst, a compliance officer, and even a board member.
He has argued publicly that AI won’t replace financial professionals—but it will force them to evolve. The analyst of 2030, in Sethi’s mind, is less of a spreadsheet jockey and more of a data interpreter, ethical arbitrator, and strategy collaborator—augmented by intelligent systems like Termina.
Challenges Ahead
Termina’s vision isn’t without hurdles. Regulatory clarity around AI in finance is still evolving, and questions about algorithmic bias, model security, and data privacy remain front and center. Some firms may hesitate to trust a “black box” for core decision-making—even if it’s explainable.
But Sethi is leaning into these debates, not avoiding them. The company holds monthly governance reviews and publishes transparency audits, inviting external researchers to stress-test its systems.
There’s also the cultural challenge: replacing decades of analog diligence practices with digital workflows won’t happen overnight. But if anyone can lead that transition, it may be someone like Sethi—who’s already built a career on rethinking how intelligence, capital, and credibility converge.
Conclusion: From Analyst to Architect
With Termina, Arjun Sethi is building more than a product—he’s architecting a new layer of institutional intelligence, where AI doesn’t just inform financial decision-making but elevates it to a new standard of clarity, speed, and trust.
As global finance becomes faster, more fragmented, and more algorithmic, the need for real-time, explainable due diligence is no longer optional—it’s existential.
Sethi seems to understand that. And once again, he’s ahead of the curve.