Sold by: Backboard.io
R-CLI holds the highest publicly reported score on Terminal Bench 2.1: 84.3% running Claude Opus 4.8 via Amazon Bedrock, above every published result. The same harness scores 72% on GLM 5.2, an open-source model customers can self-host, which means frontier-level AI coding where source code never leaves the customer's VPC. This wins deals that every closed coding tool is structurally locked out of: defence, intelligence, regulated finance and health, and any enterprise that treats its codebase as crown-jewel IP.
Overview
Target customer profile: Enterprises whose security teams have blocked AI coding tools because they ship source code to a vendor API. Defence and intelligence, public sector, banks, insurers, healthcare, and IP-sensitive engineering organizations. Primary use cases: Sanctioned enterprise AI coding replacing blocked or shadow tools, air-gapped development on self-hosted open models, and large-scale engineering acceleration with model choice per workload. Core capabilities: R-CLI is a recursive coding harness (the harness does the work, so performance is not tied to one expensive frontier model) with 260+ pre-loaded MCP connections and nearly 300 skills. Backboard Studio is the desktop IDE companion. Both are model-agnostic: run Amazon Bedrock models, or self-host an open model for a fully air-gapped path. Key differentiators: Highest publicly reported Terminal Bench 2.1 score (84.3% with Claude Opus 4.8 via Amazon Bedrock, verification logs public on GitHub). Open-model path proves on-prem is not a performance downgrade (72% on GLM 5.2). Closed competitors cannot copy the air-gapped path. Up to 90% lower cost on open models, 10-30% fewer tokens on any model.
Highlights
- Enterprise AI coding harness with the highest publicly reported Terminal Bench 2.1 score (84.3% on Amazon Bedrock). Also runs self-hosted open models for air-gapped coding. Code never leaves the customer's VPC.
- AI coding IDE with the highest publicly reported Terminal Bench 2.1 score (84.3% on Amazon Bedrock). Model-agnostic: run any frontier model or self-hosted open models for fully air-gapped development.
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Dimension | Description | Cost/month | Overage cost |
|---|---|---|---|
Studio Developer Seat | One seat for Backboard Studio, the agentic AI coding environment. Studio's recursive engine delegates work to bounded child agents, scoring 84.3% on Terminal Bench 2.1 with Claude Opus 4.8 via Amazon Bedrock, the highest publicly reported score. Model-agnostic: route across 17,000+ models or bring your own keys, and swap models as better ones ship. Includes persistent memory, agentic RAG, pre-loaded MCP connections and skills, plus R-CLI for the terminal. 10-30% fewer tokens on any model. Inference billed at provider price via BYOK. Buy one seat per developer. | $20.00 | |
Studio Team | Backboard Studio for engineering teams. A shared team workspace with centralized admin, shared billing, and usage analytics across every seat. Each developer gets the full agentic coding environment: a recursive engine that delegates work to bounded child agents and scored 84.3% on Terminal Bench 2.1 with Claude Opus 4.8 via Amazon Bedrock, the highest publicly reported score. Route across 17,000+ models or bring your own keys. Persistent team memory, agentic RAG, pre-loaded MCP connections and skills, R-CLI included. Higher usage capacity, priority support, production workflow support. One governed, model-agnostic coding tool for the whole team instead of unsanctioned point tools. | $400.00 | |
Enterprise Platform License | Backboard deployed inside your own AWS environment. The full platform installs in your VPC: the unified API with routing across 17,000+ models, #1-benchmarked memory (LoCoMo, LongMemEval), agentic hybrid RAG, and stateful threads, plus Backboard Studio and R-CLI seats for your entire engineering organization. Includes BBQuant model compression for models you own, running on your hardware. Your keys, your access controls, your audit trail, opt-in egress. Deployment is delivered by Backboard's forward-deployed engineering team and scoped to your environment. Sold via private offer with bespoke pricing, custom terms, and flexible payment schedules. Purchases draw down your committed AWS spend. Contact hello@backboard.io to start scoping. | $25,000.00 | - |
Dimensions summary
You buy access three ways, each priced per unit. Studio Developer Seat covers one developer, so you buy one seat per person. Studio Team scales the same coding environment to a group, adding shared admin, centralized billing, higher usage capacity, and priority support. The Enterprise Platform License installs the whole platform inside your own AWS environment for your entire engineering organization. It is sold through a private offer with custom pricing, terms, and payment schedules, and purchases draw down your committed AWS spend. Across all three, model inference is billed at provider price when you bring your own keys.
Top-of-mind questions for buyers
One seat maps to one individual developer. You buy one seat per person who uses Backboard Studio. Each seat includes the agentic coding environment plus R-CLI for the terminal. To cover a team, you purchase a seat for every developer who needs access.
Your seat covers the coding environment. Model inference is billed separately at the provider's price when you bring your own keys. The tool routes across many models or your own keys, and Studio reports 10-30% fewer tokens on any model. Both charges are independent.
The Enterprise Platform License installs the whole platform inside your own AWS VPC for your entire engineering organization. It adds the unified API, memory, agentic hybrid RAG, stateful threads, and model compression for models you own on your hardware. You keep your keys, access controls, audit trail, and opt-in egress.
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We have live support present inside our application or you can write an email to our support team. Contact Support@Backboard.io
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