Clueso raises $10 million to keep business videos from going stale
The Series A backs a platform that can recapture software workflows. Its harder test is deciding when an explanation needs to change.
THE AI DESK
Artificial intelligence through the lens of products, economics and accountability.
16 stories to explore
The Series A backs a platform that can recapture software workflows. Its harder test is deciding when an explanation needs to change.
Microsoft plans production deployments in 2027. Its efficiency claims raise a more useful question for startups: what does a completed AI task cost?
The ambient-AI newcomer is opening early access. Its promise turns on a difficult product problem: keeping useful context without turning every passing sentence into an instruction.
The company’s new disclosure puts the permissions around an AI test under scrutiny. A benchmark is still a real-world operation when its tools can reach other people’s systems.
Gemini at Work shifts the pitch toward completed tasks. The commercial test is how much checking, permission handling and repair stays with the customer.
Biohub’s Virtual Biology expansion combines different kinds of support. Existing datasets, future funding and compute should not be read as one new cash round.
ChatGPT is rolling out interfaces inside answers. For founders, the useful question is which workflows still need a dedicated product.
A planned 240 MW campus in Navi Mumbai matters for AI infrastructure—but it does not add usable computing capacity today.
The mortgage-software company’s Series B highlights a tougher version of the agent opportunity: completing work within an accountable workflow.
Artifact Central is in beta and Dependency Firewall is in early access. Their significance is the boundary between generated work and shipped software.
OpenAI’s forthcoming teen feature will organise application steps. For edtech startups, trustworthy deadlines may matter more than a polished planner.
Oso Cloud is going to Tiny, while most of the team joins Temporal. The distinction matters: the next race is about who controls what an agent is allowed to do.
The company proposes subsidising home repairs while recording skilled work. The business hinges on whether useful demonstrations can be collected with clear boundaries and consent.
Public results and machine-checkable proofs make research easier to inspect. For AI product teams, the lesson is to build evidence that customers can examine beyond a polished answer.
Embedding skills into an institution’s existing workflow is a distribution choice. Its value depends on delivery quality and evidence that learners benefit.
Google has widened access to its media verification tool. For startups, the useful question is how evidence of origin changes the product workflow.