AI Briefing#ramp
The latest AI and developer news about #ramp, with the original source and a short summary.
The latest AI and developer news about #ramp, with the original source and a short summary.
McKinsey, Ramp, and US Census Bureau figures differ because they measure organizational use, observed payments, and short-term business function use respectively.
Ramp developed Laminar to unify its agentic products on a model-agnostic, cloud-native stack, replacing fragmented vendor solutions and open-source frameworks.
The platform uses Ramp Router to cut AI costs by 30% while enabling employees to share and reuse effective prompts and workflows.
Router provides a service that reduces inference costs by an average of 40% by allowing users to access all AI models with a single API key.
APEX-Accounting evaluated whether AI can repeatedly produce accurate results in accounting tasks.
A short article introducing Ramp SWE-Bench has been published.
Ramp cut AI costs by over 25% and reduced error rates using dynamic LLM routing based on online learning.
Ramp has expanded its feature that tracks and manages token spend across multiple AI services like OpenAI, Anthropic, and Google Gemini in a single dashboard.
An analysis of 21,000 companies in the US found that companies that increased AI investment saw growth in both overall headcount and entry-level hiring.
Ramp has released Ramp SWE-Bench, a private coding benchmark built on real engineering problems.
Ramp has launched Applied AI Solutions, which builds customized AI agent workflows to close the corporate AI adoption gap.
Ramp deployed 10,000 AI agents and successfully found 7 high-severity security vulnerabilities in its own backend.
Ramp used Codex and GPT-5.5 to speed up code review and internal agent development.
In Ramp data, Anthropic's US enterprise adoption rate reached 34.4%, surpassing OpenAI's 32.3% for the first time.
Ramp is leveraging **ElevenLabs**' AI voice technology to accelerate its creative production process, from script prototyping to final edits.
Ramp made Fast Ask faster and more accurate through Prime-RL post-training.