Honest comparisons. No straw men.
We publish side-by-side comparisons against every serious enterprise AI platform we get asked about — pricing, model coverage, minimums, and the AI Firewall. If a competitor is the right fit for your team, we'll say so.
Single-vendor OpenAI stack with a 150-seat minimum and sales-quoted pricing (~$60/seat/mo).
Backplain runs alongside it from 10 seats with 47 models across 9 providers, side by side, at a flat $129/seat/mo.
Single-vendor Anthropic stack — Sonnet, Opus, Haiku — sales-quoted with reported 70+ seat minimums.
Backplain runs Claude Sonnet and Opus alongside 46 other frontier models, side by side, from 10 seats at $129/seat/mo flat.
The strongest answer engine of record for cited web research — metered by credits, with multi-model comparison gated to the top tier.
Keep Perplexity for research; add Backplain for unmetered, side-by-side comparison across frontier models behind the AI Firewall.
Enterprise search and an AI assistant across 100+ connected apps — sales-quoted with pooled-credit overage on Enterprise Flex.
Keep Glean for federated internal search; add Backplain to pressure-test answers against frontier models behind a prompt-time PII firewall.
$30/user/mo add-on stacked on top of M365 E3/E5 licenses — bound to the OpenAI models Microsoft surfaces.
Backplain is the second-opinion engine M365 users plug in next to Copilot for vendor-agnostic comparison and a hard PII boundary.
Purpose-built legal AI on a sales-quoted enterprise contract — reported at ~$1,200–$2,000+/seat/mo.
Backplain complements Harvey: pressure-test any legal answer against GPT-5.x, Claude, and Gemini at $129/seat/mo flat.
Matrix is the deep-document research platform for $25T+ AUM funds and top-tier law firms — annualized at $3K–$15K+/seat/yr.
Keep Hebbia for the data room; add Backplain for everyday multi-model second opinions on memos, clauses, and market reads.
Wiring up your own multi-model stack: provider contracts, key management, audit logs, PII redaction, and ongoing model churn.
Backplain ships the whole stack — 47 models, AI Firewall, audit logs, hosting flexibility — for one flat seat price.
Enterprise AI buyers are doing this work anyway — in spreadsheets, in RFPs, in Slack threads with their CISO. We'd rather have the conversation in public, with our pricing and our trade-offs on the table next to everyone else's.
Each page follows the same matrix: per-seat price, annual cost at 10 seats, minimum commitment, model coverage, multi-model comparison, AI Firewall, custom PII filtering, prompt-level audit logs, hosting flexibility, and best fit. Where competitors don't publish pricing, we cite the source we used.
More comparisons are on the way. If there's a platform you'd like to see us stack up against, tell us.