Standard AI misinterpreted technical queries. A custom model trained on 154k vetted docs now delivers precise chemical insights.
A global energy leader managing over 300,000 technical documents collected over decades required rapid access to its immense body of scientific data.
Standard language models frequently misinterpreted specialized technical queries, matching them with generic information rather than domain-specific...
Global energy and petrochemical company specializing in oil, gas, and renewables.
NVIDIA is a technology company that specializes in semiconductors, graphics processing units, and artificial intelligence for applications in data centers, gaming, and more.
Related implementations across industries and use cases
Engineers lost 30% of their day hunting in isolated data vaults. A unified AI assistant now surfaces technical answers in minutes.
Scientists spent half a day digging through 50 years of scattered files. Now, an AI assistant retrieves past experiments in minutes.
Engineers waited hours for answers on technical standards. Now, a GenAI assistant scans thousands of docs to respond instantly.
Consultants lost hours sifting through manuals. AI now mines 250 million lines of code to answer technical queries instantly.
Lawyers spent days reviewing hundreds of rulings. Now, AI scans 4.8M docs to draft citable opinions instantly.
Service gaps left rural areas behind. AI agents now guide 9M users through 44 tasks on WhatsApp, unifying fragmented support.
Managers spent weeks merging handwritten forms. AI now reads thousands of multilingual notes to rank risks in minutes.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Standard AI misinterpreted technical queries. A custom model trained on 154k vetted docs now delivers precise chemical insights.
A global energy leader managing over 300,000 technical documents collected over decades required rapid access to its immense body of scientific data.
Standard language models frequently misinterpreted specialized technical queries, matching them with generic information rather than domain-specific...
Global energy and petrochemical company specializing in oil, gas, and renewables.
NVIDIA is a technology company that specializes in semiconductors, graphics processing units, and artificial intelligence for applications in data centers, gaming, and more.
Related implementations across industries and use cases
Engineers lost 30% of their day hunting in isolated data vaults. A unified AI assistant now surfaces technical answers in minutes.
Scientists spent half a day digging through 50 years of scattered files. Now, an AI assistant retrieves past experiments in minutes.
Engineers waited hours for answers on technical standards. Now, a GenAI assistant scans thousands of docs to respond instantly.
Consultants lost hours sifting through manuals. AI now mines 250 million lines of code to answer technical queries instantly.
Lawyers spent days reviewing hundreds of rulings. Now, AI scans 4.8M docs to draft citable opinions instantly.
Service gaps left rural areas behind. AI agents now guide 9M users through 44 tasks on WhatsApp, unifying fragmented support.
Managers spent weeks merging handwritten forms. AI now reads thousands of multilingual notes to rank risks in minutes.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.