AUTONOMOUS MODEL MESH. HUMAN-VERIFIED EXECUTION.

Fragmented models.
One intelligent grid.

Orchestrate heterogeneous LLMs, fine-tuned LORAs, and autonomous agent swarms in one unified operational mesh.
Sub-4ms semantic routing, zero hallucinations, and automated token arbitrage.

Sub-4.2ms routing latency Zero data training retention Explainable audit lineage SOC2 Type II validated
LIVE NEURAL TOPOLOGY — SYNCHRONIZED INTERACTIVE PREVIEW Real-Time In-Memory Mesh
Workspace / Overview
PRODUCTION MESH ACTIVE NG

Your operational neural mesh

Real-time routing across 18 specialized model nodes and agent swarms.

12,480 req/s live
Mesh health index 99.8%+2.4%
Active model inference 2.4Btokens/d

Across 14 foundation endpoints

Token cost arbitrage 68.4%saved

KV-cache reuse & smart distillation

P99 Routing latency 4.2ms

Sub-5ms overhead SLA

Autonomous Model Mesh Interactive Topology • Live
DeepSeek-V3 18ms • $0.0002 Claude 3.7 Sonnet Reasoning 99.4% Llama-3.3 70B Vector Embeddings Supervisor Agent KV Cache (94% hit) Guardrail Gateway Tool Sandbox NEURA ROUTER
Fast Semantic Path Deep Reasoning Swarm Dynamic Failover
Autonomous Routing Copilot Trace #NR-8942

Dynamic token arbitrage triggered

Routed high-volume analytics query from monolithic Claude-3.5 to specialized Llama-3.3 70B distillation node. 0.998 semantic equivalence confirmed.

Latency reduction: -340ms (82% faster)
Cost reduction: -$0.038 / 1k queries
Hallucination score: 0.0001% (Zero Drift)
Model Failover Notice: Upstream rate-limit detected on US-East. Automatically rerouted 1,420 RPS to DeepSeek EU mirror with zero packet drop.
Interactive simulation connected to in-memory state engine. Zero API tokens billed for preview.
THE NEURAGRID AI LOOP

Less latency.
Zero hallucinations.

AI infrastructure is only valuable when it is dependable, fast, and cost-predictable. Four connected phases. One continuous feedback loop.

01

Unified Ingestion

Drop-in replacement for OpenAI SDK. Route to 50+ foundation models, open weights, and vector DBs without changing application code.

02

Semantic Routing

Sub-4ms vector-based clustering classifies query intent, complexity, and budget to dispatch requests to the optimal specialized model.

03

Inline Guardrails

Real-time verification gates validate factual consistency, redact confidential PII, and block prompt injection before stream generation.

04

Trace & Distillation

Every token and tool invocation is logged with full lineage. High-performing execution traces automatically curate datasets for continuous RLHF.

ONE PLATFORM. CONNECTED CAPABILITIES.

Your operational
AI intelligence layer.

Not another static dashboard or bloated wrapper.
A high-performance infrastructure layer to power your mission-critical SaaS.

Multi-Model Semantic Router

Dynamically routes prompts between DeepSeek, Claude, GPT-4o, and Llama 3.3 based on latency budgets and prompt complexity.

SUB-4MS LATENCY

Autonomous Agent Swarms

Orchestrate multi-agent workflows with state-machine determinism, loop prevention, and sandboxed tool-calling environments.

AGENTIC PROTOCOL

Zero-Shot Guardrail Firewall

Inline semantic fact-checker prevents hallucinations, detects prompt injections, and masks confidential enterprise PII in real time.

0.001% DRIFT SLA

KV-Cache & Token Arbitrage

Cross-tenant prefix caching and speculative decoding save up to 72% on monthly token expenditure while accelerating responses 4x.

72% COST SAVINGS

Full-Lineage Observability

OpenTelemetry native tracing. Inspect exact token counts, temperature, cost attribution, and tool call latency on every inference.

OPENTELEMETRY

Edge & Private VPC Enclaves

Deploy on AWS, GCP, Azure, or on-premise Kubernetes clusters. Zero prompt data retention guarantees complete enterprise compliance.

SOC2 & HIPAA
BUILT AROUND YOUR NEXT CHAPTER

For engineering teams
shipping what comes next.

Different industry verticals. A shared requirement for
reliable models, sub-second response times, and governed costs.

01

Generative SaaS Platforms

Eliminate single-provider outages and runaway token bills. Automatically fallback to alternate providers with sub-millisecond route switching.

02

Enterprise FinTech & Banking

Enforce strict determinism and hallucination-free financial analysis with inline verification gates and cryptographic audit trails.

03

Healthcare & Clinical Decision Support

HIPAA-compliant private VPC enclaves with zero prompt retention. Real-time medical citation validation and PII de-identification.

04

Autonomous Coding & DevOps Agents

Execute multi-agent development pipelines with sandboxed execution environments, AST verification, and automated unit test validation.

RESPONSIBLE BY DESIGN

AI proposes.
You stay in control.

Model intelligence should never be a black box you take on faith. Neuragrid provides complete lineage, transparent reasoning traces, and deterministic human veto gates before any high-stakes action executes.

Discuss your security & compliance requirements

Verifiable Reasoning Traces

Every inference decision is logged with input prompt embeddings, route rationale, confidence thresholds, and model parameter states.

Deterministic Human Veto Gates

Configure automated escalation policies. Risky tool calls and sensitive database updates pause for human approval before execution.

Zero-Knowledge Data Boundary

Your proprietary prompts, customer data, and embeddings are never stored for model training. Private tenant keys stay in your KMS vault.

Air-Gapped Private VPC Deployments

Available as self-hosted Helm charts for AWS EKS, Google Cloud GKE, and Azure AKS with isolated network egress controls.

Enterprise compliance specifications are verified across SOC2 Type II, ISO 27001, and HIPAA readiness standards.
WHY NEURAGRID AI

Connected model context.
Not disconnected API silos.

01

Unified Model Fabric

One unified endpoint seamlessly connects 50+ LLMs, local SLMs, and custom fine-tuned weights without brittle adapter code.

02

Sub-4ms Routing Decisions

In-memory vector routing clusters classify semantic intent in milliseconds, avoiding the latency penalty of nested agent calls.

03

Real Token Cost Arbitrage

Smart distillation and prefix cache reuse cut inference bills by up to 72% while increasing throughput.

04

Zero Vendor Lock-In

Instantly hot-swap providers when pricing shifts, rate-limits occur, or state-of-the-art models emerge.

BUILT FOR SERIOUS ML ENGINEERS

A clear product story.
A responsible path forward.

Engineered for rigorous technical evaluation by CTOs, Staff AI Engineers, and enterprise security reviewers—not speculative AI hype.

Start a technical deep dive

Readiness means observable telemetry.

A transparent technical pipeline: ingest prompts, calculate vector latents, evaluate policy gates, stream tokens with verified citations, and measure cost per request in real time.

Enterprise resilience without compromises.

Zero single points of failure. If an upstream AI provider experiences degraded performance, Neuragrid transparently executes zero-loss failover in under 12 milliseconds.

Extensible developer SDKs.

Native client libraries in TypeScript, Python, Go, and Rust. Fully compliant with OpenAI, Anthropic, and LangChain standards.

A WORKSPACE THAT GROWS WITH YOU

Start focused. Scale connected.

Predictable pricing tailored for startups and scaling enterprise teams.

Developer Sandbox

For individual builders, prototyping, and MVP validation.
$0 / month
  • Up to 1,000,000 routed tokens/mo
  • Access to 8 Foundation Models
  • Standard Semantic Router
  • Community Discord Support
Get API Key

Enterprise Grid

For mission-critical enterprises requiring dedicated VPC & compliance.
Custom / SLA
  • Unlimited routed throughput
  • Private AWS / GCP / Azure VPC Deploy
  • Zero Data Retention & Custom KMS
  • Custom Fine-Tuned Model Weights
  • 24/7 Dedicated AI Infrastructure Staff
Contact Sales

Experience the Neuragrid AI CLI & SDK in your terminal

Run a 3-minute test drive with synthetic benchmarks and real-time model cost comparisons.

Read Quickstart Docs
THE ROAD AHEAD

A deliberate roadmap.

Our engineering milestones, focused on developer velocity and verified safety.
No vaporware or speculative promises.

LIVE IN PRODUCTION

Dynamic Semantic Router

Sub-4ms vector-based query routing, automatic failover, and OpenAI-compatible multi-provider proxy.

PUBLIC BETA

Speculative Decoding Mesh

Cross-provider speculative decoding pairing small open-weights drafters with frontier reasoning models.

IN ACTIVE DEVELOPMENT

Multi-Agent Consensus

Decentralized multi-agent state machines with Byzantine fault tolerance and verified code execution sandboxes.

SCOPED FOR Q4

Zero-Knowledge Model Proofs

Cryptographic zk-proofs verifying that model outputs were computed by the exact weights claimed without tampering.

IDEAS FOR BETTER AI OPERATIONS

Engineering research & signal.

Original preview notes, architecture whitepapers, and operational lessons from production AI systems.

ARCHITECTURE 6 MIN READ

The Death of the Monolithic LLM: Why Dynamic Model Meshes Win

How routing queries between specialized small language models and frontier reasoners drops enterprise bills by 70% while improving latency.

Read whitepaper
SAFETY & RELIABILITY 8 MIN READ

Eliminating RAG Hallucinations at 15,000 Requests Per Second

An in-depth evaluation of inline embedding verification gates that catch factual inconsistencies before tokens reach the end user.

Read technical brief
OPTIMIZATION 5 MIN READ

KV-Cache Prefix Reuse: The Economics of Production AI SaaS

Architectural patterns for reusing key-value cache states across multi-tenant user sessions to eliminate redundant GPU computation.

Read case study
A FEW GOOD QUESTIONS

Clarity comes first.

Everything you need to know about integrating Neuragrid into your existing software stack.

How does Neuragrid route queries across different AI providers?

Neuragrid performs sub-4ms semantic intent classification using ultra-fast vector embedding projections. It evaluates the prompt complexity, required reasoning depth, context length, and latency budget, then dispatches the query to the highest-performing, lowest-cost model node available.

Does Neuragrid retain or train on our enterprise prompt data?

Never. Neuragrid operates under a strict zero-retention guarantee. In-transit payloads are encrypted using TLS 1.3, processed purely in memory, and never persisted to disk or used for model training. Enterprise tiers feature dedicated VPC deployments with customer-managed KMS keys.

Can Neuragrid be deployed on our own private AWS or GCP cloud?

Yes. Our Enterprise Grid tier includes production-ready Kubernetes Helm charts and Terraform modules for AWS EKS, GCP GKE, and Azure AKS, enabling complete air-gapped isolation within your private security perimeter.

How does the Zero-Shot Hallucination Firewall operate?

Our firewall analyzes generated token streams against your vector retrieval sources and semantic citation graphs in real time. If a statement exceeds tolerance thresholds for hallucinated facts or PII exposure, the stream is intercepted and corrected before reaching the client.

Is Neuragrid compatible with our current OpenAI SDK code?

100%. Neuragrid exposes a fully OpenAI-compliant REST and streaming API. You simply change your `baseURL` to point to your Neuragrid endpoint and provide your API key. No changes to prompt templates or application code are required.

YOUR NEXT MOVE STARTS HERE

Build with context.
Move with conviction.

Schedule a technical architecture review with our ML infrastructure team. We'll benchmark your current inference workloads and demonstrate how Neuragrid reduces latency and cuts monthly token spend by up to 72%.

Direct access to founding engineers Custom benchmark report

Demo Request Confirmed

Thank you! Our AI infrastructure engineering team will review your requirements and reach out within 4 business hours with your sandbox credentials.