Detailed prompts exceeded model limits, forcing risky cuts. Agents now handle full context to synthesize secure, one-click plans.
A fintech startup in Thailand on a mission to make decentralized finance (DeFi) accessible to everyday users, in an ecosystem spanning dozens of blockchains and thousands of distinct protocols.
Navigating DeFi requires tracking constant changes across dozens of blockchains and thousands of protocols, making it impossible for most users to...
“DeFi is so fragmented, it’s incredibly hard for users to keep up with all the options and changes, let alone find the right opportunities for them.”
AI-driven platform for discovering and executing automated DeFi strategies.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
INFINIT's Investment automation is part of this use case:
Related implementations across industries and use cases
Legacy scripts were wrong half the time. Gemini now unifies scattered Web3 assets for accurate wallet scoring and portfolio summaries.
Novices were too embarrassed to ask basics publicly. Private AI agents now answer instantly, cutting response times from 10s to near-zero.
Typing friction limited query depth. Now, analysts speak complex requests to screen stocks and analyze filings in real time.
Static bots capped accuracy at 75%. Now, AI agents run live credit checks with 99% precision, tripling engagement.
Chat queues of 2,000 requests forced hour-long waits. AI now books patients in local dialects, scaling instantly to meet demand.
Analysts couldn't touch the data—every question funneled through engineers, taking hours or weeks. Now they get answers in seconds.
Finance spent six hours stitching four data sources into fully burdened cost models. Now, they use AI to generate them in minutes.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
Querying Wikidata required specialized syntax, locking out most AI systems. Vector search now lets LLMs navigate 100M+ entities in plain language.
Detailed prompts exceeded model limits, forcing risky cuts. Agents now handle full context to synthesize secure, one-click plans.
A fintech startup in Thailand on a mission to make decentralized finance (DeFi) accessible to everyday users, in an ecosystem spanning dozens of blockchains and thousands of distinct protocols.
Navigating DeFi requires tracking constant changes across dozens of blockchains and thousands of protocols, making it impossible for most users to...
“DeFi is so fragmented, it’s incredibly hard for users to keep up with all the options and changes, let alone find the right opportunities for them.”
AI-driven platform for discovering and executing automated DeFi strategies.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
INFINIT's Investment automation is part of this use case:
Related implementations across industries and use cases
Legacy scripts were wrong half the time. Gemini now unifies scattered Web3 assets for accurate wallet scoring and portfolio summaries.
Novices were too embarrassed to ask basics publicly. Private AI agents now answer instantly, cutting response times from 10s to near-zero.
Typing friction limited query depth. Now, analysts speak complex requests to screen stocks and analyze filings in real time.
Static bots capped accuracy at 75%. Now, AI agents run live credit checks with 99% precision, tripling engagement.
Chat queues of 2,000 requests forced hour-long waits. AI now books patients in local dialects, scaling instantly to meet demand.
Analysts couldn't touch the data—every question funneled through engineers, taking hours or weeks. Now they get answers in seconds.
Finance spent six hours stitching four data sources into fully burdened cost models. Now, they use AI to generate them in minutes.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
Querying Wikidata required specialized syntax, locking out most AI systems. Vector search now lets LLMs navigate 100M+ entities in plain language.