Know what your AI is spending. Control it before the bill does.
AI bills are the fastest-growing unbudgeted line item in enterprise tech. A single misconfigured default or a runaway agent can generate thousands of dollars in API costs overnight - invisibly, while you sleep. Steward is the control layer that stops that from happening. Rein is available now via private access. Pare is live on the Chrome Web Store.
Request private accessEnterprise GenAI spend tripled in 2025 - from $11.5B to $37B in a single year. Bills are not falling as agentic workloads consume 10-20x more tokens per task. Source: Menlo Ventures, State of Generative AI in the Enterprise, 2025
Batch APIs cost 50% less than interactive APIs - missed by most enterprises because no system detects and routes deferrable workloads to them. Source: Anthropic pricing · OpenAI pricing (published batch discounts)
Hard spend controls in place at most organisations deploying AI today. The first surprise bill is when governance gets put on the agenda.
Rein at the infrastructure layer for the CTO and CFO. Pare at the browser layer for the individual developer. Together: complete visibility from every API call to every prompt.
Rein sits as a proxy between your applications and your LLM providers. Your code does not change. Your agents do not change. The control layer is invisible until it needs to act.
Every API call is logged with model, tokens in and out, cost in local currency, and the agent, user, or workflow that triggered it. Real-time, not end-of-month.
Budget caps, model restrictions, per-agent limits. When a threshold is hit, Rein downgrades the model automatically or stops the call entirely - before the damage is done.
Deferrable workloads - document analysis, export processing, nightly enrichment - are detected and routed to batch APIs at half the price. Automatically, no code changes.
Dashboard shows spend by agent, user, workflow, and business outcome in SGD, AUD, KRW, or INR. Batch savings unlocked vs missed. Pricing changes across all providers.
Every market Steward targets has a governance trigger - a regulation, a framework, or published guidance that makes AI spend accountability a compliance requirement, not just a cost question.
60.9% population AI usage - highest in Asia-Pacific. MAS AI Risk Guidelines and the world's first Agentic AI Governance Framework (January 2026). Source: Microsoft AI Diffusion Report, H2 2025
Anchor marketTop 5 globally for AI tool adoption. NAIC Guidance for AI Adoption (AI6, October 2025) creates accountability requirements for AI deployment.
English market · No local competitorsFastest-growing AI adoption globally (+43.2%). AI Basic Act - the world's second comprehensive AI law (January 2026). SGD 735B sovereign AI initiative.
Via local partner#2 globally for Claude usage. 59% enterprise AI deployment rate - highest among countries surveyed. DPDP Act notified November 2025. Existing Dendrons enterprise relationships. Source: Anthropic Economic Index, India Brief, 2026 Source: IBM Institute for Business Value, 2024
Lowest CAC · Founder networkRein is available via private access today. Pare is live on the Chrome Web Store - add it to Chrome now. Request Rein access to share what your AI spend looks like.
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