.NET 10
Modern runtime for high-performance enterprise services.
Company · Platform
Technology
Enterprise-grade runtime foundations and a multi-vendor AI model layer — so you can deploy online or on-prem without locking into a single provider.
Infrastructure & runtime stack
Production services are built for operability: containerized workloads, durable data stores, and caching that fit how enterprise platform teams already run software.
ASP.NET Core
APIs, gateways, and admin surfaces on a proven web stack.
Docker
Packaged services for consistent local, hybrid, and cloud deploys.
Kubernetes
Orchestration for scale, health, and rolling releases.
PostgreSQL
Transactional store for tenants, config, and audit metadata.
Redis
Caching, rate limits, and low-latency session/state patterns.
Core Banking Integrations
Finacle, Flexcube, and custom cores via REST/webhook — tied to Qyira Bank360 for customer, credit, and ops intelligence.
AI model layer
Qyira GenAI routes workloads across private and cloud providers under one policy plane — pick the right model for latency, cost, capability, and residency.
Ollama
Ollama — local and private model serving for developer and edge labs.
vLLM
vLLM — high-throughput on-prem inference.
OpenAI
OpenAI — leading hosted models for general and multimodal assist.
Claude
Claude — strong reasoning and long-context enterprise workloads.
Gemini
Gemini — Google’s multimodal models via approved cloud routes.
DeepSeek
DeepSeek — cost-efficient reasoning routes where policy allows.
Qwen
Qwen — open-weight families for private and hybrid deployments.
Llama
Llama — Meta’s open models for on-prem and fine-tuned stacks.
Azure OpenAI
Azure OpenAI — enterprise-hosted OpenAI models in Azure tenancy.
Multi-vendor by design
Qyira AI is a multi-vendor platform — not a single-vendor AI stack. That is the same Vendor Independence principle on our homepage: standardize access across leading model families, swap providers without rewriting every application, and keep one control plane for routing, policy, and spend.
Enterprises need negotiating power, failover options, and the ability to place sensitive workloads on private runtimes (Ollama, vLLM, Llama, Qwen) while still using best-of-breed hosted models (OpenAI, Claude, Gemini, Azure OpenAI, DeepSeek) where approved. Qyira GenAI makes those choices operational — allowlists, quotas, observability — so platform and risk teams stay in control as the model market changes.
Why Qyira · AI Platform Homepage · Vendor Independence About · Technology teaser
See the stack in your environment
Request a demo of multi-model routing — or talk with sales about on-prem and hybrid topologies.