Parinita Conduit
The AI Nervous System
Sovereign multi-model inference router and synthesizer.
Conduit is the first production system to simultaneously route queries across 200+ LLM endpoints, synthesize their outputs into a single superior response, and deliver it through one interface — all on owned infrastructure, with every decision recorded immutably on Chrysalis. Routers pick one model. Conduit traverses many in parallel and synthesizes.
Single-Model Routing Leaves Quality on the Table
Traditional AI gateways route each query to one model and discard the rest. No single model is optimal across all query types, domains, or languages. Enterprises route to one frontier model and accept its weaknesses as fixed constraints.
No production system synthesizes across multiple models at query time. Personalization reinvented per product. Inference decisions leave no verifiable audit trail. Sovereignty-aware routing requires custom implementation on every model integration.
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Single-Model Quality Ceiling
No single model is optimal across all query types. Routing to one model accepts its weaknesses as fixed constraints.
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No Verifiable Inference Audit
Which models were called, in what order, with what synthesis weights? Most enterprise inference systems cannot answer this question.
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Per-Product Inference Reinvention
Every AI product re-implements routing, personalization, and sovereignty handling. Conduit's agent.infer() eliminates that duplication.
Route across 200+ models. Synthesize into one answer.
Conduit does not replace your frontier model subscriptions. It routes intelligently across all of them — dispatching in parallel, synthesizing outputs into one superior response, and recording every decision on Chrysalis.
The standard agent.infer({query, context, sovereignty, strategy}) API gives every Parinita product universal Rainbow synthesis, sovereignty-aware routing, and Thread personalization without re-implementing inference.
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Dispatch — Parallel Routing
Classifies the query, selects 3–7 endpoints from 200+ models, and dispatches in parallel.
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Rainbow — Synthesis
Combines multi-model outputs into one unified, higher-quality response automatically.
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Thread — Behavioral Personalization
Maintains routing-signal state per user (never query content) on encrypted sovereign storage.
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Chrysalis-Anchored Audit
Every traversal decision — models called, order, synthesis weights — recorded immutably. Cryptographic trace from prompt to answer.
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Sovereignty-Aware Routing
agent.infer() sovereignty parameter: public, regional, or sovereign. Sovereign mode routes only to self-hosted Parinita models.
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Universal Inference API
Every Parinita product calls agent.infer() — Nexus Accord, Pulse Sage, Secure Shield, Reason Thought. No product re-implements inference.
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200+ Model Catalog
Claude, GPT, Gemini, Llama, Qwen, DeepSeek, plus open-weight and specialty models on MI350P and Blackwell — all through one API.
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Multi-LRM Delegation
When a workload benefits from deliberation, Dispatch delegates to the Thought agent inside Reason via Chorus.
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Streaming and Batch
Streaming synthesis for interactive workloads and batch synthesis for high-throughput processing.
The Four Subsystems
Dispatch classifies the query, selects the right ensemble of 3–7 endpoints from 200+ models, and fires calls in parallel. Rainbow combines multi-model outputs into one unified higher-quality response. Thread maintains routing-signal state per user on encrypted sovereign storage. Every traversal decision is Chrysalis-anchored.
Sovereignty parameter takes three values: public (any model), regional (jurisdiction-bound models), sovereign (self-hosted Parinita models only, Chrysalis trails mandatory). No counterparty infrastructure sees the query in sovereign mode.
Dispatch. Rainbow. Thread. Chrysalis.
Every query traverses four stages: classification and ensemble selection by Dispatch, parallel model calls, synthesis by Rainbow, and immutable anchoring on Chrysalis. Thread applies personalization without storing query content.
- 01Query ClassificationWhat query type and domain is this? Which ensemble is optimal?
- 02Ensemble SelectionWhich 3–7 endpoints from the 200+ model catalog best fit this query type and budget?
- 03Sovereignty LevelIs the sovereignty parameter public, regional, or sovereign? Which endpoints are eligible?
- 04Endpoint AvailabilityWhich endpoints are currently healthy and within capacity?
- 05Thread PersonalizationWhat routing-signal state does Thread have for this user? How does it influence ensemble selection?
- 06Parallel DispatchFire calls to selected ensemble endpoints in parallel. Track response times and quality signals.
- 07Rainbow SynthesisCombine multi-model outputs into one unified response using synthesis weights.
- 08Chrysalis AnchoringRecord the traversal — endpoints, order, synthesis weights, final output hash — on Chrysalis.
import conduit
client = conduit.Client(seat_id='seat_8f3k2...', region='us-east')
response = client.infer(query='Analyze this contract for ITAR implications', sovereignty='sovereign', strategy='ensemble')
print(response.answer, response.chrysalis_receipt)Proven at scale. Not in a lab.
Parinita AI Edge is the production deployment of the Parinita platform and the largest heterogeneous AI infrastructure deployment in the United States.
Parinita AI Edge
The most complex heterogeneous AI infrastructure in the United States. 101 sites, 9 planes, 12,000+ nodes, 4 accelerator vendors, dual network fabrics, four-layer tenant isolation — all through a single sovereign control plane.
Network & Security Infrastructure
- Multi-vendor acceleratorsFour accelerator vendors — Intel Habana, NVIDIA, AMD, Qualcomm — orchestrated through one control plane with unified scheduling, monitoring, and lifecycle management.
- Dual-fabric networkingCisco production fabric and Arista GPU backend fabric operating as a coordinated system, bridged by identity-aware routing.
- Nationwide scale101 sites across 42 U.S. states, each operating autonomously with a local control agent and a sovereign cross-site routing plane.
- Multi-tenant isolationFour-layer defense-in-depth: VXLAN VNIs, identity-routing, Palo Alto firewalls, and Cilium eBPF — validated across every plane and site.
- Compliance readinessFIPS 140-2 at launch, with FedRAMP Moderate, CJIS, and IL4/IL5 certification paths active through Parinita compliance profiles.
- Sub-millisecond routingEvery request classified and dispatched in under 1ms, enabling real-time SLA enforcement without perceptible overhead.
Built for teams that need multi-model inference.
Conduit does not ask you to change your model subscriptions, your Kubernetes distribution, or your compliance tooling. It routes across all of them through one API.
You build AI products that need the best response quality — not just the best single model. Conduit dispatches to the right ensemble and synthesizes, removing per-product inference reinvention.
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Multi-Model AI Products
Building AI products that need the best response quality. Conduit routes to the right ensemble per query and synthesizes — no per-product reinvention.
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Sovereign AI Inference
Regulated enterprises needing inference where counterparty infrastructure never sees the query. Sovereign mode routes only to self-hosted Parinita models.
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Verifiable AI Audit
Compliance teams needing cryptographic proof of which models produced which outputs. Every Conduit traversal leaves a Chrysalis-anchored trace.
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Enterprise AI Platform Teams
Internal AI platforms serving multiple teams. Conduit's agent.infer() eliminates per-team inference reinvention while providing centralized sovereignty and audit.
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AI Service Providers
Selling AI services to regulated customers who need proof of inference routing decisions. Conduit's Chrysalis anchoring makes those proofs automatic.
Deployment Tiers
Conduit is available as standalone enterprise infrastructure across three tiers. All tiers run on Parinita's 101-POP network across 42 U.S. states.
$2,500/month — Multi-model routing and synthesis, sovereignty-aware, Chrysalis-anchored | Best for: Teams graduating from single-model routing
$12,500/month — Full ensemble customization, Thread personalization, advanced synthesis strategies | Best for: Enterprise AI platforms
Custom pricing — Dedicated infrastructure, custom model catalog, ITAR/HIPAA/FedRAMP compliance | Best for: Regulated enterprises
Request a Demo
Our engineering team has deployed Conduit as the inference backbone across 101 sites. We bring that operational experience to every deployment conversation.