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thenextweb
Upriver raises $14M to fix the unglamorous layer where enterprise AI quietly breaks: the data

Most enterprise AI projects do not fail because the model is bad. They fail because the data feeding it is a mess: broken pipelines, mismatched systems, and context locked in one engineer’s head. Upriver, an Israeli startup, has raised $14M to automate the cleanup, betting that this dull but critical layer is where the AI […]
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venturebeat
Enterprise AI agents are only as reliable as the messiest documents behind

<p>Enterprise AI has largely been built around context engineering. Teams connect enterprise systems, generate chunks and embeddings, build retrieval pipelines, and assemble the context needed b [...]

Match Score: 117.75

venturebeat
Agent context layers: Enterprises governing their AI data are catching twic

<p>Across 101 enterprises, the context feeding AI agents is failing often and repeatedly. Sixty-eight percent have traced a confident but wrong agent answer to missing or inconsistent business c [...]

Match Score: 107.34

venturebeat
As enterprises confront AI agent sprawl, xpander wants them to own their ow

<p>Enterprise AI has a new infrastructure problem: companies are accumulating agents faster than they are developing systems to govern them.</p><p>Gartner estimates that the average [...]

Match Score: 90.94

venturebeat
Claude’s next enterprise battle is not models: it’s the agent control p

<p><i>New VB Pulse data shows Microsoft and OpenAI leading enterprise agent orchestration, but Anthropic’s first measurable foothold points to a larger fight over who controls the infras [...]

Match Score: 90.61

venturebeat
Perplexity takes its ‘Computer’ AI agent into the enterprise, taking ai

<p><a href="https://www.perplexity.ai/">Perplexity</a>, the AI-powered search company valued at $20 billion, announced on Wednesday at its inaugural <a href="https: [...]

Match Score: 85.93

venturebeat
57% of enterprises have watched AI agents be confidently wrong. The fix is

<p>An enterprise AI agent answers with total confidence, but the number is wrong. Nobody catches it until someone traces it back to a stale metric definition or a document the retrieval system n [...]

Match Score: 85.57

thenextweb
Finland’s CurifyLabs raises $14M to 3D-print personalised medicine in the

<img src="https://media.thenextweb.com/2026/07/curifylabs-raises-14m-series-a.avif" width="868" height="488"><br /><p>Your prescription, printed to orde [...]

Match Score: 78.16

venturebeat
Alembic melted GPUs chasing causal A.I. — now it's running one of th

<p><a href="https://getalembic.com/"><u>Alembic Technologies</u></a> has raised <a href="https://www.wsj.com/articles/accenture-and-jeffrey-katzenbergs- [...]

Match Score: 73.67

venturebeat
The AI context gap: Enterprise AI organizations have a trust problem, not a

<p>Across 101 enterprises, the infrastructure that feeds AI agents their business context is being built faster than it can be trusted. Retrieval-augmented generation is already the default cont [...]

Match Score: 67.62