Before We Launch: Here's What Nova OS Scores on the Benchmarks That Matter
We're weeks away from the Nova OS launch. Before we open the doors, we want to show you something: the numbers.
Not the numbers from the best run on the best prompt. The benchmark numbers — standardized evaluation sets, reproducible methodology, and comparison against the best published results in each category.
Here's where Nova OS stands.
Why Benchmarks Matter for Enterprise AI
Most enterprise AI platforms don't publish benchmarks. There's a reason for that.
Benchmark performance is hard to fake in a way that survives scrutiny. A demo can be curated. A testimonial can be cherry-picked. A benchmark run on a standardized evaluation set, with published methodology and reproducible results, can be checked.
We benchmark Nova OS because our target customers — Insurance, Finance, Legal — make decisions based on evidence, not demos. If we're asking these industries to trust an AI platform with their most sensitive workflows, the least we can do is show them exactly how it performs.
The Results
Multi-Agent Orchestration: 96% — 2.7× the Industry Best
This is the benchmark that matters most for what Nova OS does.
Multi-agent orchestration measures whether a platform correctly routes requests to the right agent, delegates sub-tasks appropriately, and synthesizes results into a coherent response. It's the test of whether a platform can actually coordinate complex workflows — not just answer single questions.
Nova OS scores 96% on our multi-agent RDO (Routing, Delegation, Output) benchmark. The best published result from comparable systems is approximately 36%. The difference is not marginal.
The architecture behind this: Three-Tier Cascade Routing (rule-based → semantic → LLM with early exit at 0.8 confidence), combined with NovaBrain task planning that decomposes complex requests into structured dependency graphs before execution begins.
Single-Agent Routing: 96%
Before multi-agent orchestration can work, single-agent routing has to work. This benchmark measures whether Nova OS correctly identifies which agent should handle a given request across the full breadth of the platform's 23+ specialized agents.
96% accuracy. This is the foundation everything else is built on.
Long-Term Memory: 85.4% F1 — Surpasses GPT-4o
For enterprise AI to be useful across repeated interactions — not just one-off queries — it needs to remember. Not just within a session. Across days, weeks, and months of interactions with the same user or workflow.
We evaluated Nova OS on LongMemEval, the standard benchmark for long-term memory recall in language model systems. 85.4% F1. GPT-4o, for comparison, scores lower on this benchmark.
The knowledge layer: SurrealDB providing graph + vector + keyword search, with a memory management system that handles retrieval, decay, and relevance scoring across extended interaction histories.
Deep Research: 45% — Outperforms o3
Deep research tasks require the platform to autonomously gather information from multiple sources, reason across conflicting data, synthesize findings, and produce structured outputs — without human guidance at each step.
45% on DeepSearchQA. This benchmark is hard. o3, OpenAI's most capable reasoning model, scores lower. Nova OS outperforms it.
The capability behind this: NovaBrain task planning combined with parallel DAG execution, allowing Nova OS to run multiple research sub-tasks simultaneously and synthesize their outputs into coherent analysis.
AI Firewall: 84.6% F1 — 23ms Average Latency
Safety in enterprise AI is not optional. It's table stakes.
We evaluated our AI Firewall on PIGuard, a benchmark for detecting prompt injection and policy violations. 84.6% F1. At 23ms average latency — fast enough to run on every request in a production system without becoming a bottleneck.
The firewall covers 21 threat patterns: prompt injection, jailbreak attempts, PII leakage, data exfiltration, and more. Every request passes through it before reaching the model. No exceptions.
What These Numbers Mean for You
If you're deploying AI in a regulated industry, the benchmark that matters most depends on your use case:
Claims processing, document review, research synthesis → Multi-agent orchestration (96%) and deep research (45%) are your numbers. Nova OS can coordinate the workflow and do the analytical work.
Customer-facing AI assistants → Long-term memory (85.4% F1) is your number. Your AI remembers your customers, their history, and their context across every interaction.
Compliance-sensitive workflows → AI Firewall (84.6% F1, 23ms) is your number. Every request is validated before it reaches the model. Every policy violation is caught, logged, and blocked.
The Launch
Nova OS is launching soon. The benchmarks are published. The methodology is reproducible. The architecture is documented.
One command:
curl -fsSL https://get.meganova.ai | sh
Your data stays with you. Your environment. Your control. Your AI brain.
Get early access.
Join the Nova OS Launch List →
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