ONE API FOR YOUR ENTIRE AI STACK WITH...
THE WORLD'S SMARTEST AI MEMORY
THE WORLD'S SMARTEST AI MEMORY
THE WORLD'S SMARTEST AI MEMORY
Configure your models, embeddings, RAG, and more all in one API.
We built the world’s fastest, smartest AI memory and paired it with the most flexible stack on the planet. Thousands of LLMs, built-in RAG (or use your own). One API, total control.
Rob Imbeault, Backboard IO
INDUSTRY BENCHMARK
Setting a New Standard in AI Memory
Backboard Breaks Records with 90.1% Accuracy on LoCoMo, the Industry’s Leading AI Memory Test
| Method | Single-Hop(%) | Multi-Hop(%) | Open Domain(%) | Temporal(%) | Overall(%) |
|---|---|---|---|---|---|
| Backboard | 89.36 | 75 | 91.2 | 91.9 | 90 |
| Mem0 | 67.13 | 51.15 | 72.93 | 55.51 | 66.88 |
| Mem0-Graph | 65.71 | 47.19 | 75.71 | 58.13 | 68.44 |
| LangMem | 62.23 | 47.92 | 71.12 | 23.43 | 58.1 |
| Zep | 74.11 | 66.04 | 67.71 | 79.79 | 75.14 |
| OpenAI | 63.79 | 42.92 | 62.29 | 21.71 | 52.9 |
| Memobase(v0.0.32) | 63.83 | 52.08 | 71.82 | 80.37 | 70.91 |
| Memobase(v0.0.37) | 70.92 | 46.88 | 77.17 | 85.05 | 75.78 |
Take a Quick Tour
FEATURES
Entire AI Stack in One API
This is just the beginning!
FEATURES
Entire AI Stack in One API
This is just the beginning!
World's Best Memory
Backboard captures what your AI needs to remember and organizes it for reliable use across any conversation or stack. It stores context, interactions and long-term knowledge, then retrieves the right pieces at the right time. Memory becomes architecture, not a feature.
World's Best Memory
Backboard captures what your AI needs to remember and organizes it for reliable use across any conversation or stack. It stores context, interactions and long-term knowledge, then retrieves the right pieces at the right time. Memory becomes architecture, not a feature.
World's Best Memory
Backboard captures what your AI needs to remember and organizes it for reliable use across any conversation or stack. It stores context, interactions and long-term knowledge, then retrieves the right pieces at the right time. Memory becomes architecture, not a feature.
Configurable AI Stack
Build exactly the system you want. Combine any model, embedding, vector database and memory setting into a custom stack optimized for your use case. Swap components instantly, tune performance and cost on the fly, and experiment across more than a million possible configurations. It gives developers full control without the overhead of managing complex infrastructure.
Configurable AI Stack
Build exactly the system you want. Combine any model, embedding, vector database and memory setting into a custom stack optimized for your use case. Swap components instantly, tune performance and cost on the fly, and experiment across more than a million possible configurations. It gives developers full control without the overhead of managing complex infrastructure.
Configurable AI Stack
Build exactly the system you want. Combine any model, embedding, vector database and memory setting into a custom stack optimized for your use case. Swap components instantly, tune performance and cost on the fly, and experiment across more than a million possible configurations. It gives developers full control without the overhead of managing complex infrastructure.
Stateful Thread Management
Stateful thread management system supporting all 2,200+ models, allowing on-demand model switching and incorporating robust chunking algorithms that adapt to each model’s context window. Did we mention this is all done for you?
Stateful Thread Management
Stateful thread management system supporting all 2,200+ models, allowing on-demand model switching and incorporating robust chunking algorithms that adapt to each model’s context window. Did we mention this is all done for you?
Stateful Thread Management
Stateful thread management system supporting all 2,200+ models, allowing on-demand model switching and incorporating robust chunking algorithms that adapt to each model’s context window. Did we mention this is all done for you?
RAG Layer
Agentic RAG system with dynamic, scalable capabilities that supports hybrid search (BM25 + vector retrieval), achieving p99 retrieval latency, and can seamlessly expand to accommodate additional documents.
RAG Layer
Agentic RAG system with dynamic, scalable capabilities that supports hybrid search (BM25 + vector retrieval), achieving p99 retrieval latency, and can seamlessly expand to accommodate additional documents.
RAG Layer
Agentic RAG system with dynamic, scalable capabilities that supports hybrid search (BM25 + vector retrieval), achieving p99 retrieval latency, and can seamlessly expand to accommodate additional documents.
CUSTOMERS
What Our Clients Say
Join customers who trust Backboard to transform their business.
CUSTOMERS
What Our Clients Say
Join customers who trust Backboard to transform their business.
"We replaced a patchwork of APIs and in-house memory systems with Backboard’s unified stack. Within a week, our AI workflows were faster, cheaper, and stateful across every application. It saved us months of dev time and cut our infrastructure costs by 30%."
"We replaced a patchwork of APIs and in-house memory systems with Backboard’s unified stack. Within a week, our AI workflows were faster, cheaper, and stateful across every application. It saved us months of dev time and cut our infrastructure costs by 30%."
“You have something a lot of people don’t know they will desperately need very soon.”
Jeffrey C
Head of Engineering
Backboard turned weeks of building AI infrastructure into 'pip install' so we could focus on our actual use case and get our field worker AI-agent MVP done in weeks vs. months.
Darryl H
Principal - Ops Express
For our use case backboard allows us to focus on our actual form automation and how AI will help with it, getting an MVP done in days rather than spending weeks just on setting up the plumbing for using AI.
Eli R
CTO - True AI
“You have something a lot of people don’t know they will desperately need very soon.”
Jeffrey C
Head of Engineering
Backboard turned weeks of building AI infrastructure into 'pip install' so we could focus on our actual use case and get our field worker AI-agent MVP done in weeks vs. months.
Darryl H
Principal - Ops Express
For our use case backboard allows us to focus on our actual form automation and how AI will help with it, getting an MVP done in days rather than spending weeks just on setting up the plumbing for using AI.
Eli R
CTO - True AI
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