Founding GTM Engineer

NexaByte

IT Services and IT Consulting

There is a finding from a 2025 MIT study that nobody in the AI industry talks about loudly enough. When AI models hallucinate, when they fabricate sources, invent data, construct plausible-sounding falsehoods, they use more confident language than when they are correct. The more wrong the answer. The more certain it sounds. Every major AI research tool on the market was built to be fast, fluent, and impressive. The confidence is not a signal of accuracy. It is a design outcome. NexaByte was built because that gap has consequences. For a consultant whose citation cannot be located. For a PE analyst whose valuation model contains a fabricated revenue figure. For an R&D scientist who cites a study that was never published. For a strategy team presenting hallucinated competitive intelligence to a board. These are not hypotheticals. They are this year's headlines. We are building Cortex, an AI deep research platform engineered specifically for professionals where being wrong is not an option. Cortex does not fabricate data it cannot verify. It surfaces conflicting sources rather than silently resolving them. It flags uncertainty explicitly rather than papering over it with authority. It tells you what it does not know which, it turns out, is the most valuable thing a research tool can do. We built it for four audiences: consulting professionals who put figures in client decks, investment analysts whose name is on the memo, corporate strategy teams who present to the board, and R&D scientists who cite research in published work. If your professional reputation depends on the accuracy of what you produce, Cortex was built for you. Currently in pre-launch. Waitlist open at nexa-byte.net. Follow for The Research Brief, our fortnightly newsletter on AI, verification, and what the industry is not telling you.