Unified Ingestion
Drop-in replacement for OpenAI SDK. Route to 50+ foundation models, open weights, and vector DBs without changing application code.
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.
Real-time routing across 18 specialized model nodes and agent swarms.
Across 14 foundation endpoints
KV-cache reuse & smart distillation
Sub-5ms overhead SLA
Routed high-volume analytics query from monolithic Claude-3.5 to specialized Llama-3.3 70B distillation node. 0.998 semantic equivalence confirmed.
AI infrastructure is only valuable when it is dependable, fast, and cost-predictable. Four connected phases. One continuous feedback loop.
Drop-in replacement for OpenAI SDK. Route to 50+ foundation models, open weights, and vector DBs without changing application code.
Sub-4ms vector-based clustering classifies query intent, complexity, and budget to dispatch requests to the optimal specialized model.
Real-time verification gates validate factual consistency, redact confidential PII, and block prompt injection before stream generation.
Every token and tool invocation is logged with full lineage. High-performing execution traces automatically curate datasets for continuous RLHF.
Not another static dashboard or bloated wrapper.
A high-performance infrastructure layer to power your mission-critical SaaS.
Dynamically routes prompts between DeepSeek, Claude, GPT-4o, and Llama 3.3 based on latency budgets and prompt complexity.
SUB-4MS LATENCYOrchestrate multi-agent workflows with state-machine determinism, loop prevention, and sandboxed tool-calling environments.
AGENTIC PROTOCOLInline semantic fact-checker prevents hallucinations, detects prompt injections, and masks confidential enterprise PII in real time.
0.001% DRIFT SLACross-tenant prefix caching and speculative decoding save up to 72% on monthly token expenditure while accelerating responses 4x.
72% COST SAVINGSOpenTelemetry native tracing. Inspect exact token counts, temperature, cost attribution, and tool call latency on every inference.
OPENTELEMETRYDeploy on AWS, GCP, Azure, or on-premise Kubernetes clusters. Zero prompt data retention guarantees complete enterprise compliance.
SOC2 & HIPAADifferent industry verticals. A shared requirement for
reliable models, sub-second response times, and governed costs.
Eliminate single-provider outages and runaway token bills. Automatically fallback to alternate providers with sub-millisecond route switching.
Enforce strict determinism and hallucination-free financial analysis with inline verification gates and cryptographic audit trails.
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 requirementsEvery inference decision is logged with input prompt embeddings, route rationale, confidence thresholds, and model parameter states.
Configure automated escalation policies. Risky tool calls and sensitive database updates pause for human approval before execution.
Your proprietary prompts, customer data, and embeddings are never stored for model training. Private tenant keys stay in your KMS vault.
Available as self-hosted Helm charts for AWS EKS, Google Cloud GKE, and Azure AKS with isolated network egress controls.
One unified endpoint seamlessly connects 50+ LLMs, local SLMs, and custom fine-tuned weights without brittle adapter code.
In-memory vector routing clusters classify semantic intent in milliseconds, avoiding the latency penalty of nested agent calls.
Smart distillation and prefix cache reuse cut inference bills by up to 72% while increasing throughput.
Instantly hot-swap providers when pricing shifts, rate-limits occur, or state-of-the-art models emerge.
Engineered for rigorous technical evaluation by CTOs, Staff AI Engineers, and enterprise security reviewers—not speculative AI hype.
Start a technical deep diveA transparent technical pipeline: ingest prompts, calculate vector latents, evaluate policy gates, stream tokens with verified citations, and measure cost per request in real time.
Zero single points of failure. If an upstream AI provider experiences degraded performance, Neuragrid transparently executes zero-loss failover in under 12 milliseconds.
Native client libraries in TypeScript, Python, Go, and Rust. Fully compliant with OpenAI, Anthropic, and LangChain standards.
Predictable pricing tailored for startups and scaling enterprise teams.
Our engineering milestones, focused on developer velocity and verified safety.
No vaporware or speculative promises.
Sub-4ms vector-based query routing, automatic failover, and OpenAI-compatible multi-provider proxy.
Cross-provider speculative decoding pairing small open-weights drafters with frontier reasoning models.
Decentralized multi-agent state machines with Byzantine fault tolerance and verified code execution sandboxes.
Cryptographic zk-proofs verifying that model outputs were computed by the exact weights claimed without tampering.
Original preview notes, architecture whitepapers, and operational lessons from production AI systems.
How routing queries between specialized small language models and frontier reasoners drops enterprise bills by 70% while improving latency.
Read whitepaperAn in-depth evaluation of inline embedding verification gates that catch factual inconsistencies before tokens reach the end user.
Read technical briefArchitectural patterns for reusing key-value cache states across multi-tenant user sessions to eliminate redundant GPU computation.
Read case studyEverything you need to know about integrating Neuragrid into your existing software stack.
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.
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.
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.
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.
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.
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%.
Thank you! Our AI infrastructure engineering team will review your requirements and reach out within 4 business hours with your sandbox credentials.