Predictive behavioral AI network THEA said Thursday that it raised $8 million in strategic funding to expand its AI infrastructure and build a Solana-based coordination layer for intelligent applications.
The round included Maven11 Capital, Spartan Group, ManifoldTrading, HackVC and Fisher8 Capital, according to the company’s announcement.
THEA said the funding will support its operational AI infrastructure and an on-chain coordination layer anchored to Solana. The company is developing Thea Network to coordinate inference requests, accounting and settlement, while keeping computation off-chain.
THEA raises capital for behavioral AI infrastructure
THEA describes itself as a predictive behavioral AI network for real-time risk markets. The company says it builds systems for high-volatility environments where user behavior can affect liquidity, retention, risk and performance.
“THEA has closed a $8 million strategic funding round to advance our behavioral AI infrastructure and enable its next stage of growth,” said THEA in its X thread.
The company also named angel backers including Galois Capital, DCF GOD, Elton Tsang and other individual investors.
The raise comes as AI and blockchain projects continue to seek funding for infrastructure, not only consumer applications. As previously reported, Coinbase also pushed deeper into AI with Coinbase Advisor and AI agents capable of executing trades within defined limits.
Thea Network will anchor settlement to Solana
THEA said it is building Thea Network as a shared settlement layer for intelligent applications. The company said the network will connect access and coordination across AI services while giving developers a programmable settlement layer.
The project plans to use tokenization to support payments and request settlement for AI services. In its X thread, THEA said this design could simplify global payments, reduce operational work and support distributed business models built around request settlement infrastructure.
The network will connect purpose-built models with humans and AI agents through a partitioned off-chain compute setup. THEA said the system will be anchored to Solana with zero-knowledge proofs, while parallel processing will support independent requests and matching proofs.
This design keeps the heavy compute work away from the blockchain. However, THEA plans to use Solana for coordination, accounting and settlement. The company said this structure aims to combine blockchain-level integrity with cloud-like performance.
No token or public sale announced
THEA also warned users that it does not currently have a token. “THEA currently does NOT have a token or any announced ICO/Public sale,” said the project.
That warning matters because funding announcements in AI crypto can attract fake tokens, impersonation accounts and unofficial sale links. THEA said official announcements will come only from its X account, website, LinkedIn, Substack and listed contact channels.
The company’s statement separates the planned tokenized settlement layer from any current token launch. It also means users should not treat the funding announcement as an ICO, a public sale or a tradable token event.
The warning follows wider concern about AI-linked scams in digital finance. As The Coin Headlines reported earlier this week, Bitget said it blocked 150 million threats and flagged 13,000 risky IPs in one year as AI scams hit digital finance.
AI and blockchain projects keep drawing attention
THEA’s funding adds to a growing group of projects linking artificial intelligence with blockchain infrastructure. The company’s focus is not on putting AI computation fully onchain. Instead, it plans to use Solana as a settlement and coordination layer while models run off-chain.
That approach reflects a wider market shift toward AI agents, tokenized payments and real-time machine-to-machine services. In related Tech and AI coverage, Solana-based Kled AI signed a $12 million data deal and reached profitability with $14 million in total funding.
The latest funding also places THEA within the broader AI infrastructure race. The company says its systems target risk markets, where fast decision-making and behavioral prediction matter for trading, liquidity and user activity.
