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Product · LLM Agnostic

Any LLM you choose,
routed per task and audited per query.

Today’s leading model may not lead next quarter. Ward runs on OpenAI, Anthropic, Gemini, or your own, routed automatically and logged on every call.

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The right model for every task

Not every question needs the most expensive model. Ward’s router sends each query to the right LLM: fast models for lookups, reasoning models for root cause. Forecasting numbers come from classical models, not the LLM. The LLM frames the answer and cites the math.

Multi-LLM, routed per task
Routes to OpenAI, Anthropic, Gemini, or open-source. No lock-in, switch any time. Fast models for lookups, reasoning models for root cause, specialized math for forecasts. Every route logged with cost and latency.
OpenAI · Anthropic · Gemini · Open-source · Cost-efficient
Bring your own LLM
Already have an enterprise AI agreement? Bring your API keys. Ward runs on your models, in your environment. You hold cost, compliance, and data residency.
BYOLLM · Your API keys · Your data

Audit any query, any answer

The reasoning graph shows every step: which tables were queried, what was computed, which forecast model ran, which LLM answered. Click any number to walk it back to the row. Hand the trail to compliance, no matter which model powered the analysis.

Charters on file. Changes on the record.

Every agent ships with a written charter: scope, sources, allowed actions, owner, version. Diff two versions side by side. Every edit is logged with name, time, ticket, and approver. Roll back in one click. Export to your SIEM.

Cyber liability covered

Cyber and tech E&O policy on file, AI rider included. Certificate of insurance to procurement in a day. Coverage names data breach, regulatory response, and AI-specific liability.

One platform, every LLM, zero lock-in. No single model stays on top for long, so Ward’s router means you don’t have to pick a winner. The math runs on classical models, the LLM frames the answer, and the audit trail covers both.
WHO
Roles that depend on it

Built for the teams
that catch problems first.

Director / VP
Head of IT
Technology
VS
See it. Or compare it.

Operator stories
and the alternatives.

PLAY
Plays in production
How operators run llm-agnostic on Ward today.
DBX
Ward vs Databricks
Why building this on top of your lakehouse stalls.

Two ways to start.

Run a fixed-fee pilot on your data, or talk to advisory about a broader engagement.

Get a demo → Talk to advisory
Spend governance

Control AI spend by department and user.
Without skimping on the outcome.

Give every department and every user a compute budget. Ward routes each question to the cheapest model that clears the quality bar, so finance caps the spend without capping what the business gets back.

Compute budgets, this month 68% used · on pace
Merchandising
14,200 / 20,000
Supply Chain
9,800 / 15,000
Store Ops
6,100 / 10,000
Ecommerce
4,700 / 5,000
Finance
3,400 / 5,000
Per-user caps. Alerts at 80%. Hard stop or overage approval, your call. Ecommerce flagged at 94%, before it became a surprise invoice.

Your AI vendor shouldn’t lock in your model.

Ward works with any LLM. Switch anytime. See it on your data.

Get a demo → Take the 3-minute assessment

Read-only to start · your LLM keys · SOC 2 Type II underway · or book a call directly

Get started

Find out what your data has been hiding.

Tell us about your operation. We’ll show you the problems Ward catches, and the ones your current tools miss.

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What are your goals?
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About your operation
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