Naboo vs Hyperspell
Hyperspell is a cloud 'Company Brain' API for developers. Naboo is an enterprise Reasoning Layer - Decision Graph, on-prem, native RBAC, Forward Deployed Agent.
The thesis in one paragraph
Hyperspell (YC W25) offers a hosted context API developers can call to give an agent a “Company Brain.” It's clean, developer-friendly, and quick to try. Naboo is a Reasoning Layer for the Fortune 500: a Decision Graph with owners, triggers, blockers, and evidence as first-class nodes - deployed inside your VPC or on-prem, with permissions mirrored from your source ACLs, and shipped end-to-end in 2-4 weeks by a Forward Deployed Agent. Same category on the surface. Different buyer, different depth, different deployment model underneath.
Side by side
Category
Naboo
Reasoning Layer built on a Decision Graph
Hyperspell
Cloud 'Company Brain' context API for developers
Primary abstraction
Naboo
Decisions as first-class nodes - owners, triggers, blockers, evidence
Hyperspell
Documents + entities ingested into a hosted context graph
What ships out of the box
Naboo
A Decision Graph encoding your org's private definitions of shipped, blocked, and owned
Hyperspell
SDK + hosted endpoint - you write the ingestion, you define the schema
Enterprise ETL depth
Naboo
Live joins across code / tickets / PRs / Slack / internal services, encoded by a Forward Deployed Agent
Hyperspell
You wire up your own sources against Hyperspell's API
Primary buyer
Naboo
Enterprise R&D, Platform, Head of AI at Fortune 500 orgs
Hyperspell
Individual developers and small teams building agent products
Deployment
Naboo
On-prem or VPC, zero data egress, native RBAC at retrieval
Hyperspell
Hosted cloud service - your enterprise data flows to Hyperspell
Permission model
Naboo
Source ACLs mirrored at retrieval - agents only see what the caller can see
Hyperspell
Application-level - you enforce it before you push
Time to value
Naboo
2-4 weeks - Decision Graph shipped end-to-end by the Forward Deployed Agent
Hyperspell
Minutes to a working API call; months to reach enterprise depth on your own
How the agent queries it
Naboo
GraphQL + MCP - returns a structured chain of decisions
Hyperspell
REST API returning matched context items you compose into a prompt
Compose with each other?
Naboo
Yes - Naboo's MCP server plugs into agents built on any framework
Hyperspell
Yes - Hyperspell can serve developer-side apps while Naboo grounds enterprise workloads
| Feature | Naboo | Hyperspell |
|---|---|---|
| Category | Reasoning Layer built on a Decision Graph | Cloud 'Company Brain' context API for developers |
| Primary abstraction | Decisions as first-class nodes - owners, triggers, blockers, evidence | Documents + entities ingested into a hosted context graph |
| What ships out of the box | A Decision Graph encoding your org's private definitions of shipped, blocked, and owned | SDK + hosted endpoint - you write the ingestion, you define the schema |
| Enterprise ETL depth | Live joins across code / tickets / PRs / Slack / internal services, encoded by a Forward Deployed Agent | You wire up your own sources against Hyperspell's API |
| Primary buyer | Enterprise R&D, Platform, Head of AI at Fortune 500 orgs | Individual developers and small teams building agent products |
| Deployment | On-prem or VPC, zero data egress, native RBAC at retrieval | Hosted cloud service - your enterprise data flows to Hyperspell |
| Permission model | Source ACLs mirrored at retrieval - agents only see what the caller can see | Application-level - you enforce it before you push |
| Time to value | 2-4 weeks - Decision Graph shipped end-to-end by the Forward Deployed Agent | Minutes to a working API call; months to reach enterprise depth on your own |
| How the agent queries it | GraphQL + MCP - returns a structured chain of decisions | REST API returning matched context items you compose into a prompt |
| Compose with each other? | Yes - Naboo's MCP server plugs into agents built on any framework | Yes - Hyperspell can serve developer-side apps while Naboo grounds enterprise workloads |
FAQ
Isn't Hyperspell the same category as Naboo?
Same category, very different products. Both aim at 'give AI agents better context.' Hyperspell is a cloud API that developers plug into their apps to store and retrieve context - a hosted 'Company Brain' as they call it. Naboo is an enterprise-first Reasoning Layer: a Decision Graph with decisions as first-class nodes, deployed inside your VPC or on-prem, with source ACLs mirrored at retrieval, and shipped end-to-end by a Forward Deployed Agent. Different buyer, different depth, different deployment model.
What does 'decisions as first-class nodes' actually mean?
In Hyperspell (and every 'context graph' competitor) a node is a document, an entity, or a fact - things the agent has seen. In Naboo, a node is a decision your organization made: what triggered it, who owns it, what blocks it, what evidence supports it, and what depends on it. That's queryable directly. When your agent asks 'what's blocking checkout v2 from shipping,' Naboo returns the four open decisions, the owners, the statuses, and the triggers - not a pile of retrieved documents the agent then has to reason about.
Why does the enterprise deployment matter?
Because Fortune 500 buyers won't send code, tickets, PRs, and Slack history to a hosted API run by anyone else. They need the data plane inside their VPC or on-prem, the retrieval enforced against their existing RBAC, and zero data egress. Naboo runs where the customer runs. Hyperspell runs in Hyperspell's cloud. That's a hard line for enterprise procurement.
What does 'Forward Deployed Agent' change?
It's the difference between a library and a working system. With Hyperspell you get an SDK and a set of primitives; your team writes the ingestion, defines the schema, and hardens the joins. With Naboo, a specialist in ETL and data science sits with your tech lead, encodes your org's private definitions of 'a feature,' 'shipped,' 'owned,' 'blocked' - and ships the Decision Graph end-to-end in 2-4 weeks. It's an outcome, not a toolkit.
When is Hyperspell the right choice?
When you're a developer or small team building an agent product and you want a hosted context API you can call in minutes - low friction, no enterprise contracting, no on-prem constraints. Great for prototyping, personal projects, and product-led SaaS. If you're inside a Fortune 500 with existing systems, permission requirements, and Decision-Graph-shaped questions - Naboo is the right layer.
Can I use Hyperspell inside my product and Naboo for internal R&D agents?
Yes, and some enterprises do exactly that. Hyperspell (or a similar developer API) powers customer-facing context in your SaaS; Naboo runs the R&D-side Reasoning Layer for the agents your engineers, PMs, and CX teams use. Different problems, different tools.
Related reading
Reasoning Layer for Enterprise AI Agents
Definition, architecture, and the two tiers - Topic Graph and Decision Graph.
Read moreDefinitionWhat is a Decision Graph for AI Agents?
Decisions as first-class nodes - owners, triggers, blockers, evidence. The primitive AI agents need to act.
Read moreHow-toHow to Build a Decision Graph
Seven concrete steps from elicitation to a queryable graph. Two to four weeks via Forward Deployed Agent.
Read moreCFO briefHow to Reduce LLM Token Costs
Don't meter the waste, cut the cause. Reasoning Layer vs observability and caching, compared.
Read moreGuideImprove AI Agent Accuracy
Accuracy is upstream of evals. Four causes of enterprise AI inaccuracy and how a Reasoning Layer fixes them.
Read moreArchitectureConnect Enterprise Data Sources
Live joins vs stale copies. Warehouse, ETL, knowledge graphs, and Reasoning Layer compared.
Read moreGuideOvercome GenAI Hallucinations
Hallucinations are a context-handoff problem, not a model problem. Four causes, one upstream fix.
Read moreROIHow Naboo Saves Cost
Five places Naboo cuts cost in enterprise AI deployments. Four-minute explainer video.
Read moreHubCompare Naboo
Every category enterprise AI buyers weigh against the Reasoning Layer - in one place.
Read moreComparisonNaboo vs Helicone
Reasoning Layer cuts the cause; Helicone measures the waste. Composable.
Read moreComparisonNaboo vs Langfuse
Different layers. Langfuse versions + traces; Naboo grounds the agent.
Read moreComparisonNaboo vs LlamaIndex
RAG framework vs Reasoning Layer. When to use each.
Read moreComparisonNaboo vs LangChain
Orchestration vs substrate. Compose them.
Read moreComparisonNaboo vs Cognee
Open-source agent memory vs enterprise Reasoning Layer. Different primitives, different jobs.
Read moreComparisonNaboo vs Modern Relay
Git-style graph DB primitive vs a complete Reasoning Layer shipped end-to-end.
Read moreBackgroundWhy retrieval was the wrong foundation
How enterprise AI agents got built on RAG, why it falls short, and what a reasoning layer fixes.
Read moreComparisonNaboo vs RAG
Retrieval vs reasoning - head-to-head benchmarks, architecture, and when to use each.
Read moreComparisonNaboo vs Glean
Enterprise search vs reasoning layer - when each fits.
Read moreConceptAI Search vs Reasoning Layer
Search returns links; the reasoning layer returns the chain. When to use which.
Read moreCategoryAgent Memory vs Reasoning Layer
Memory recalls what the agent saw. A Reasoning Layer returns what the company decided. Different primitives, different jobs.
Read moreCase studyGlobal-E case study
How Global-E (NASDAQ: GLBE) gave AI agents secure access to customer data.
Read moreComparisonCompare alternatives
Naboo vs other enterprise AI agent infrastructure platforms.
Read moreA hosted API isn't the Fortune 500 answer.
If you need context inside your VPC, permissions mirrored from your source systems, and a Decision Graph that reflects how your team actually operates - talk to us.