Didit closed a $7.5 million seed round to build programmable identity infrastructure across 220-plus countries.
Abaka.AI raised $8 million to expand its enterprise data platform, which helps companies prepare and evaluate multimodal AI datasets.
Alitheon closed an $8 million Series A1 round to scale its FeaturePrint technology, which gives physical objects a unique, unforgeable digital identity.
Investors tracking the AI market face a growing problem. Most of the noise is around AI applications, chatbots, copilots, and consumer tools. Although the harder question is; what keeps all of these systems trustworthy? Who verifies the users, the data, and the physical goods that AI touches? It is exactly where this week's capital is going.
Three companies working on verification and data infrastructure have together raised over $23.5 million. The deals span identity, enterprise data pipelines, and physical object authentication. These are all different problems, but one shared theme is building the trust layer that AI systems will need to function at scale.
Identity verification is no longer just about checking a passport. Didit, founded in 2023 by twin brothers Alberto and Alejandro Rosas, has closed its seed funding round at $7.5 million after adding $6 million in fresh capital.
The round included Y Combinator, Pioneer Fund, Orange Collective, Founders Future, Phosphor Capital, SaaSholic, and Rebel Fund, along with angel investors Tomer London, co-founder of Gusto, and Taro Fukuyama, founder of Fond.
The Madrid-based company builds a single API that lets businesses verify people, companies, AI agents, digital wallets, and transactions. Each verification checks over 200 signals. These include biometric liveness, deepfake detection, injection attack screening, behavioural signals, and document authenticity. Didit builds all its AI models internally, with no third-party dependencies.
The numbers back up the pitch. Didit serves over 1,500 active B2B customers across fintech, crypto, iGaming, mobility, and government in more than 220 countries and territories. Revenue is growing more than 30% month over month, and the company is already profitable. Its technology was validated through Spain's Financial Sandbox under SEPBLAC, CNMV, and Treasury supervision, where it was rated equivalent to or more secure than in-person verification.
The fresh capital will fund global expansion, broader fraud detection coverage, and hiring across product, sales, and customer success. The regulatory backdrop helps too. Europe's eIDAS 2.0 framework requires EU member states to roll out digital identity wallets by the end of this year, with banks and payment providers required to accept them by December 2027. Didit's long-term goal is to let users verify once and reuse that identity anywhere on the internet through a single API call.
A powerful AI model is only as good as the data behind it. Abaka.AI raised $8 million to expand its enterprise data platform, which helps companies prepare and evaluate multimodal datasets. These cover text, images, audio, video, code, and 3D formats before they go into production AI systems.
The funding will support development of the Abaka AI Data Platform, including expanded production pipelines and stronger model-in-the-loop evaluation tools. A share of the capital will also go toward the 2077AI Foundation, an open-source benchmark and interoperability initiative that Abaka.AI co-founded.
For companies in regulated industries like healthcare, finance, or autonomous systems, data handling requirements go well beyond basic labeling. Abaka.AI's quality-assurance process combines expert annotators, domain-specific training, consensus labeling, sampling audits, and automated error detection.
Customers can deploy across public clouds, on-premises, or hybrid environments, with encrypted storage and role-based access controls. Near-term priorities include more model-assisted labeling, stronger on-premises deployment, and continued open standards work.
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Barcodes and stickers have one fatal flaw, they can be removed, damaged, or faked. Alitheon is building something harder to beat. The company closed an $8 million Series A1 round led by Emerald Technology Ventures, with participation from eBay Ventures and existing backers.
Alitheon's Feature Print technology captures the unique surface details of any physical object, think of it as a fingerprint for things and create an unforgeable digital identity without adding any external marker. Verification happens through a standard camera. Because nothing is attached to the object, there is nothing for bad actors to spoof or swap.
The company describes this as a Zero Trust framework for physical goods: no item is treated as authentic until its digital fingerprint is confirmed. The funding will go toward global deployment across manufacturing, logistics, and e-commerce. eBay Ventures' participation signals where the commercial interest lies.
As high-value resale grows, proving an item's provenance without relying on easily faked labels becomes a real business need. Competitors in barcode and tag-based systems face the same spoofing risk that Alitheon is designed to eliminate.
The clearest signal from this week's deals is that investors are moving up the stack, not toward AI applications, but toward what makes AI systems and digital economies trustworthy. Didit's profitable growth, a 30% month-over-month revenue increase shows that identity verification with real fraud coverage is a sticky, recurring business.
Abaka.AI is targeting the data quality gap that will only grow wider as enterprises push more complex AI into production. Alitheon is solving a supply chain and commerce problem that no barcode system has ever truly fixed.
For investors, the pattern is the same across all three. They are focusing on backend infrastructure with strong enterprise relationships, high data volumes, and problems that are genuinely hard to replicate. That combination tends to build durable businesses and this week's capital suggests the market agrees.
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Investors are increasingly focusing on the systems that support AI rather than only the applications people use every day. As AI adoption grows, companies need secure identity verification, reliable data pipelines, and stronger authentication tools. These services help reduce fraud, improve data quality, and build trust in digital systems. Because they solve difficult technical problems, they can also create long-term business value.
Didit provides identity verification services through a single API. Businesses can use its platform to verify people, companies, digital wallets, transactions, and even AI agents. The system checks hundreds of security signals, including biometric verification, document authenticity, deepfake detection, and behavioral analysis. Its goal is to create a reusable digital identity system that can work across multiple online platforms and services.
AI models depend heavily on the quality of the data used to train and evaluate them. Poor data can lead to inaccurate results, bias, and operational problems. Companies like Abaka.AI helps businesses organize, label, audit, and evaluate large datasets before they are used in production systems. This becomes especially important in industries such as healthcare, finance, and autonomous technology where accuracy matters greatly.
Alitheon's technology creates a unique digital identity for physical objects by analyzing their natural surface characteristics. Instead of relying on stickers, QR codes, or barcodes, the system uses a camera to recognize tiny details that are unique to each item. This makes it much harder for counterfeiters to copy or replace products because there is no external tag that can be removed or duplicated.
The latest funding activity suggests investors are becoming more interested in the infrastructure that supports AI rather than only consumer-facing applications. Identity verification, data quality management, and authentication systems address critical operational challenges that many organizations face. These businesses often build long-term customer relationships and generate recurring revenue, making them attractive opportunities in a rapidly growing technology market.