ramp

Router by Ramp is a new product designed to save money on AI token usage by helping users manage and reduce API-related costs.

Ramp Router uses EWMA for failure rates and Thompson sampling for latency to select the cheapest LLM model and service tier meeting deadlines, achieving 30% cost savings without performance loss.

An exploration of the Forward Deployed Engineer (FDE) role, its origins at Palantir, adoption by AI startups like OpenAI and Ramp, and reasons for its growing demand in 2025.

New data from Ramp and Box surveys shows that companies with higher AI adoption are also experiencing headcount growth, countering earlier fears that AI would reduce employment. Findings indicate that advanced AI adopters expect greater future hiring.

Ramp adopts a layered release strategy, pushing major features daily, splitting releases into early access (EA) and general availability (GA) layers. EA covers 10% of customers and 5000+ enterprises. Before GA, they must submit evidence: demo, KPIs, customer feedback, support readiness, and launch plan, to accelerate iteration.

Ramp launches Applied AI Solutions, a service that embeds AI agents into finance teams to improve operational efficiency and deliver measurable ROI, leveraging a model-agnostic approach.