Backboard is the full AI stack in one API: agents, memory, RAG, model routing across 17,000+ LLMs, tool calls, voice, image, web search, and stateful threads behind a single key. Stop stitching together 8 vendors to ship one agent. Top publicly reported scores on the LoCoMo and LongMemEval memory benchmarks, 10-30% fewer tokens on any model, and live in minutes with a single API key.
Backboard is full-stack, model-agnostic AI infrastructure that lets you build production AI agents through a single API. One key gives you persistent memory, agentic RAG, model routing across 17,000+ LLMs, stateful threads, multi-agent orchestration, parallel tool calls, web search, voice, and image. Every layer you would normally assemble from separate vendors, vector databases, orchestration frameworks, embedding services, and provider SDKs, is vertically integrated and stateful by default at the message level. Point your agent at an Assistant, open a Thread, send Messages: memory, retrieval, and context management are handled for you. The performance layer is proven. Backboard holds the top publicly reported scores on the LoCoMo and LongMemEval long-term memory benchmarks, and its Recursive Parallel Agents architecture cuts token usage by 10-30% on any model, frontier or open source. Hybrid agentic RAG combines BM25 and vector retrieval out of the box. Model routing means your agents can run on Amazon Bedrock models, frontier APIs, or open-source models you host yourself, and you can switch anytime without rewriting your application. Bring your own provider keys or use ours. Built for enterprise control from day one. There is no lock-in: use any LLM, bring your own embeddings and provider keys, and export your memory anytime through open CRUD endpoints. Teams use Backboard to ship AI agents, copilots, chatbots, and agentic workflows in days instead of months, with one bill, one integration, and one API replacing an entire AI stack. Need Backboard running inside your own AWS account? A separate containerized deployment of the platform is available on AWS Marketplace.
Highlights
The full AI stack in one API: persistent memory, agentic RAG, routing across 17,000+ LLMs, stateful threads, multi-agent orchestration, parallel tool calls, web search, voice, and image. One key replaces the vector database, orchestration framework, and provider SDKs you would otherwise stitch together.
Benchmark-proven performance: top publicly reported scores on the LoCoMo and LongMemEval long-term memory benchmarks, plus 10-30% fewer tokens on any model via Recursive Parallel Agents. Run your agents on Amazon Bedrock, frontier APIs, or open-source models and switch anytime without rewriting code.
Enterprise control, no lock-in: use any LLM, bring your own embeddings and provider keys, export memory anytime through open CRUD endpoints. Also available as a separate containerized listing for deployment inside your own AWS account.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Full access to the Backboard platform for individual builders. Includes the unified API, R-CLI, desktop and web workspace, advanced memory and context tools, agentic RAG, routing across 17,000+ models, workflow and usage analytics, and BYOK support. Model tokens are billed at provider price with no markup.
$20.00
Scale Plan
Production-grade access to the Backboard platform for teams. Everything in Developer plus team workspace access, higher usage capacity, shared billing and usage visibility, advanced analytics, priority support, and production workflow support. Build and run AI agents, copilots, and agentic workflows at scale with the unified API, agentic RAG, routing across 17,000+ models, and BYOK support. Model tokens are billed at provider price with no markup.
$400.00
Enterprise Plan
For organizations running Backboard in production at scale. Everything in Scale plus custom usage capacity, SSO, dedicated support with SLAs, security review support, and co-build engagement with the Backboard team. Most enterprise customers purchase through a custom private offer; contact support@backboard.io before subscribing and we will structure pricing to your usage and committed spend. Organizations requiring the platform to run inside their own AWS account should see our separate containerized Backboard listing on AWS Marketplace, available with private pricing.
You choose from three tiers that scale by user scope and usage capacity. The Developer Plan gives individual builders access to the platform, unified API, and model routing. The Scale Plan adds team workspaces, higher usage capacity, shared billing visibility, and priority support for production teams. The Enterprise Plan builds on Scale with custom usage capacity, SSO, and dedicated support with SLAs. Most enterprise buyers arrange a custom private offer by contacting the vendor before subscribing. All tiers are billed as units under a contract, and model tokens are charged at provider price with no markup.
Top-of-mind questions for buyers
What does one unit represent for billing on each plan?
A unit is a prepaid usage allotment under your contract, not a per-user seat. The Developer Plan sizes units for one builder. The Scale Plan raises capacity for teams. The Enterprise Plan sets custom usage capacity. Model tokens you consume are billed separately at provider price with no markup.
How do model token charges combine with my plan cost?
Two charges apply together. Your plan units cover platform access, memory, routing, and workflow features. Model tokens are billed separately at the provider's price with no added markup. Token spend scales with how much you call the 17,000+ available models, so heavy model usage drives that portion of your bill.
When usage grows, do I move between plans automatically or manually?
Plan changes are not automatic. Each plan sets its own usage capacity, and moving from Developer to Scale or Enterprise is a purchasing decision. Enterprise capacity is custom-sized. Most enterprise buyers arrange a private offer by contacting the vendor before subscribing, matching pricing to expected usage and committed spend.
backboard.io
Helpful?
Vendor refund policy
Contact our support team for refund information.
How can we make this page better?
Tell us how we can improve this page, or report an issue with this product.
Give us feedbackReport a problem with this product or seller
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA).
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
We have live AI support present inside our application or you can write an email to our support team at support@backboard.io.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Stack AI is a no-code platform for building and deploying AI agents, assistants, and workflow automations within your own infrastructure. This Customer Hosted plan deploys Stack AI directly into your VPC or on-premises environment, giving you full control over data residency, network access, and security policies. Build AI-powered applications using a visual drag-and-drop interface - including RAG pipelines, document Q&A, chatbots, and multi-step automations - without writing code. SOC 2 Type II, HIPAA, and GDPR compliant. Integrates with SharePoint, Salesforce, Snowflake, Slack, and 50+ enterprise data sources. Ideal for regulated industries and organizations with strict data sovereignty requirements.
Agent IAM is an Agentic AI–powered Federated Identity and Access Management solution that unifies human, machine, and AI identities across AWS, Azure, SaaS, and on-prem environments. Built natively on AWS, it centralizes authentication, authorization, and lifecycle management while automating Joiner–Mover–Leaver workflows through HRMS/ITSM integration. The platform supports modern apps (OIDC, SAML, SCIM, APIs) and legacy systems via Computer Use Agents for automated provisioning. With policy enforcement through OPA, short-lived AI access tokens, and complete audit logging, Agent IAM provides secure, compliant, and scalable identity governance for hybrid enterprises
NexaStack AI MSP provides end-to-end implementation and managed services for deploying scalable, secure, and governed AI inference and agentic systems on AWS. Leveraging AWS services such as Amazon Bedrock, AWS Lambda, Amazon EKS, and Amazon S3, the platform enables enterprises to build, orchestrate, and manage AI agents across cloud, edge, and hybrid environments. It delivers intelligent resource allocation, secure execution environments, and built-in governance frameworks to support autonomous operations with full observability, scalability, and control.
Neural AI Design Studio is a comprehensive strategic framework and implementation platform that guides organizations through discovering, developing, and implementing agentic AI solutions on AWS. The solution combines strategic consulting methodologies with cloud-native AI/ML services to deliver autonomous AI systems that can make decisions and take actions to achieve business objectives.
Be the first to review this product. We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.