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. Its engine is already live in production. Rein and Pare are available now via private access.
Request private accessSupported by Google Cloud for Startups · Anthropic Claude Partner Network Member
Enterprise AI budgets grew 483% as prices fell 80%. Bills are not falling - agentic workloads consume 10-20x more tokens per task.
Cost reduction available on deferrable workloads via batch APIs - missed by most enterprises because no system detects and routes them.
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.
Steward runs on the BugRelay Engine - Dendrons.ai's multi-agent orchestration layer with per-agent token logging and provider-switching by config. It is already live in production. The first deployment is Bugsmith.
Triages and classifies every incoming merchant support request before any work begins.
Retrieves the relevant knowledge and generates the solution from the app's documentation and history.
Validates the answer for accuracy before it ever reaches the merchant.
Live for Webmarked, a global Shopify ISV - powering support automation for Smart Wishlist and Smart RSS Feed across 4,000+ Shopify merchant stores. Every token logged per agent, every dollar tracked per provider. Switching providers - Gemini to Claude - is a single config change, no code rewrite.
Running on Google Cloud Platform - Vertex AI and Cloud SQL, asia-southeast1, with Anthropic Claude integration from September 2026. Case study available on request →
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 globally. MAS AI Risk Guidelines and the world's first Agentic AI Governance Framework (January 2026).
Anchor marketTop 5 in Anthropic's AI Usage Index. 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. 57% enterprise AI deployment rate. DPDP Act notified November 2025. Existing Dendrons enterprise relationships.
Lowest CAC · Founder networkThe BugRelay engine behind Steward is live in production today. Rein and Pare are in private access - request access to be first in line, and to share what your AI spend looks like now.
Request private access