# Nace.AI

> AI that learns your business, runs it — and is yours. Specialized models and agents that execute real processes end-to-end, and compound in capability as your team uses them. Products: NAVI (sovereign enterprise intelligence), Cloud (SLM training, inference and continuous improvement).

## Products (markdown summaries)

- [Nace.AI overview](https://nace.ai/index.md): AI stack for your organization — products, deployment models, links
- [NAVI](https://nace.ai/navi.md): sovereign enterprise intelligence — owned small models that run business processes end to end
- [Cloud](https://nace.ai/nacecloud.md): model training, inference & continuous-improvement cloud — SLM families, metamodels

## NDI API documentation

- [NDI docs](https://docs.ndi.nace.ai): quickstart, concepts, and full API reference (Mintlify)
- [NDI docs llms.txt](https://docs.ndi.nace.ai/llms.txt): machine-readable index of the API docs
- [MCP integration](https://docs.ndi.nace.ai/mcp-integration): connect NDI to agents via MCP

## Research & blog

- [Scaling Laws for Hypernetwork-Based Knowledge Injection](https://nace.ai/research/scaling-law-for-hypernetwork): New scaling laws for train-time knowledge injection: hypernetworks beat LoRA and full fine-tuning on out-of-distribution generalization, and the gap grows with target model size. (2026-07-22)
- [Nace.AI raises $21.5M to build AI-led enterprise workflows](https://nace.ai/blog/announcing-our-seed-investment): Nace.AI raises $21.5M to build specialized intelligence for complex enterprise workflows. (2026-05-05)
- [Enterprise Policy Injection with Metamodels](https://nace.ai/research/enterprise-policy-injection-with-metamodels): Adapting model behavior at inference time — without retraining, large context windows, or touching the primary model's weights. (2026-05-01)
- [Nace Meta Agent](https://nace.ai/research/nacemetaagent): NEMA: meta-learning architectures that generate specialized, task-specific agents automatically. (2026-01-27)
- [Memory Augmentation and Editing Techniques in LLMs](https://nace.ai/research/memory-augmentation-and-editing-techniques-in-large-language-models): Memory augmentation and model editing for handling outdated and domain-specific knowledge. (2025-03-18)
- [A Letter from the Founders of Nace.AI](https://nace.ai/blog/letter-from-founders): Nace.AI emerges from stealth with Metamodel 1 — precision and adaptability for enterprises. (2025-02-08)
- [NAVI Console: Policy-driven Safeguards Comparison](https://nace.ai/research/policy-driven-safeguards): Benchmarking Nace's Safety Model against AWS Bedrock, Azure, NeMo Guardrails, and prompt-based approaches. (2025-01-19)
- [GeLoRA: Efficient Fine-Tuning of Large Language Models](https://nace.ai/research/gelora): A theoretical framework connecting the geometry of data representations to training dynamics. (2024-12-10)
- [Hypernetworks for Specialized Instructions](https://nace.ai/research/hypernetworks-for-specialized-instructions): Efficient fine-tuning of LLMs through task-specific parameter generation. (2024-12-07)
- [Meta-Learning through Hypernetworks](https://nace.ai/research/meta-learning-through-hypernetworks): Improving task adaptability in large language models. (2024-12-07)
- [Memory Augmentation for Document-heavy Enterprise Use Cases](https://nace.ai/research/memory-augmentation-for-document-heavy-enterprises): A modular RAG pipeline tailored to enterprise needs — over 90% F1 on verification. (2024-11-05)
- [Knowledge Graph Synergy with LLMs](https://nace.ai/research/knowledge-graph-utilization): How structured, verifiable knowledge complements LLMs where they fall short. No ML background required. (2024-11-01)
- [Progressing Towards Meta Models and What Lies Beyond](https://nace.ai/research/progressing-towards-meta-models-and-what-lies-beyond): Tailored, meta-learned Small Language Models for rapid, efficient adaptation. (2024-10-24)
- [Understand LLMs From the Perspective of Ranking](https://nace.ai/research/understand-llms-from-the-perspective-of-ranking): Most post-training performance gains are reranking — aligning the proposal distribution with the task. (2024-10-12)

## Other pages

- [Careers](https://nace.ai/careers): open roles
- [Contact](https://nace.ai/contact): contact sales / get a demo