BeforeQuery vs Leena AI
Leena AI is one of the sharpest agent platforms in the market — persona-branded AI Employees (Harrison for HR, Iris for IT, Fiona for Finance), deterministic AOP-style workflow authoring, Knowledge Studio with conflict analysis, and a 45-day go-live claim we openly admire and adopted. The differences are in how open the platform is and how you evaluate it.
At a glance
Leena AI column compiled from leena.ai/platform, /solutions, /integrations, and public case studies (fetched 2026-09-05).
When to pick BeforeQuery
You want open protocols as platform features. MCP and A2A are shipped endpoints in BeforeQuery, browsable and callable from Claude Desktop / Cursor / any MCP client. Leena has generic MCP and A2A connectors in the integration catalogue, which is a subtly different thing. You want an open SDK. @beforequery/agents on npm gives you programmatic control over agent runs, custom playbooks, and CI/CD-friendly deployment. Leena's AOP Studio is UI-only inside their platform. You want to try before you buy. Free tier, no card, sign in and connect a source. Leena is enterprise-sales-led — great motion for the customers who need hand-holding, high friction for the ones who want to evaluate on real data. You want BYOK on your terms. We support Anthropic, OpenAI, Google, and self-hosted per workspace. Leena's WorkLM is proprietary; their multi-model orchestrator is real but the credential lives with them.
When to pick Leena AI
You need proven enterprise scale today. 500+ customers, 20M+ employees served, deployments across Coca-Cola, Nestlé, Compass Group, Panasonic, H&M, Abbott, Tesco. If your procurement wants a marquee reference in your industry, Leena has one. You want the largest named integration catalogue at contract signing. 200+ tiles today vs. our 17-hero. Our long-tail catch-up runs on a Composio-mediated UIA layer that lands in Phase 2, but if you need a specific vertical connector *now*, Leena's catalogue is more likely to have it. You value Gartner recognition in AI Knowledge Management Apps. Leena is a three-time Emerging Leader in that quadrant. You want the AOP-style authoring experience at a maturity level. Leena invented the pattern; ours ships in Phase 2. If authoring is the primary evaluation criterion this quarter, Leena is ahead on that specific surface.
When it is close
The two platforms are architecturally the closest in the market — both persona-branded, both source-showing, both cross-department. If your requirements are grounded answers + approval-gated actions + a named AI Employee per module, both will pass evaluation. The tie-breakers are usually open-protocol need, self-serve preference, and whether your procurement wants shipped enterprise scale or shipped open SDK.
Frequently asked questions
You mentioned you adopted Leena's AI Employee pattern. Isn't that a copy?
Yes, and we say so openly. Named AI Employees are the strongest UX pattern any competitor has introduced in the past two years. Copying obvious good ideas is faster than inventing a worse alternative, and it costs Leena nothing — the persona pattern is not their moat, their conflict-analysis and enterprise references are.
Do you match Leena's Knowledge Studio features?
Feature-by-feature parity is the plan: conflict analysis (Phase 2), smart testing (Phase 2), Knowledge Health dashboard (Phase 2), reference-mode indexing (Phase 3). Where we differ is what we do with the graph beside the knowledge — the Graph + Knowledge fusion is not something Leena publishes.
How does BYOK really work at BeforeQuery vs. Leena?
For us, BYOK on Enterprise means your Anthropic / OpenAI / Google / self-hosted credential lives in your Models Studio configuration; every LLM call routes to your provider under your DPA. Leena's WorkLM is a proprietary model they run; their multi-model support is real but the credential relationship is with them.
Are your open protocols actually different from Leena's Generic MCP / A2A connectors?
Yes. Leena's Generic MCP / A2A connectors are one-way — they let Leena call an MCP or A2A endpoint. Ours are two-way: every BeforeQuery knowledge base and agent is *also* an MCP server, so external clients (Claude Desktop, Cursor, other agents) can call in. Different direction, different use case.
What about Leena's 45-day go-live claim?
We adopted it. Our median first-live-playbook target is the same 45 days. The pattern is the same too: connect knowledge sources, install pre-built playbooks, wire integrations, rehearse in simulation, go live.
See both grounding and open protocols
Free plan, no credit card. Connect your docs, expose an MCP endpoint to Claude Desktop, and compare against your Leena evaluation on the same corpus.