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Corniya Services

AI/ML Services Designed for High-Growth Startups

We help product teams design, build, and scale AI systems that deliver measurable business value. Our delivery model is API-first and aligned with future FastAPI backend integration.

AI Strategy and Use-Case Discovery

Identify high-ROI opportunities, prioritize use cases, and design phased AI roadmaps for execution.

Deliverables

  • Use-case prioritization matrix
  • Technical architecture recommendation
  • Implementation sprint plan

Why startups choose this: Ideal for early-stage teams that need to move fast without wasting engineering cycles.

Custom Model Development

Build task-specific NLP, vision, and predictive models tailored to business workflows and domain context.

Deliverables

  • Model training pipeline
  • Evaluation benchmarks
  • Deployment-ready model package

Why startups choose this: Great for teams where generic models are not accurate enough for production use.

Agentic Workflow Automation

Design multi-step AI agents that combine reasoning, tools, retrieval, and business process automation.

Deliverables

  • Agent orchestration flows
  • Tool integration layer
  • Guardrail and fallback design

Why startups choose this: Perfect for operations-heavy startups aiming to scale output with small teams.

MLOps, Monitoring, and Reliability

Ship reliable AI systems with monitoring, observability, testing, and continuous optimization.

Deliverables

  • Model and prompt monitoring
  • Drift and quality alerts
  • Release and rollback workflows

Why startups choose this: Required for startups moving from MVP demos to stable production deployments.

FastAPI Backend and API Engineering

Build clean, versioned APIs with FastAPI-ready contracts so frontend and backend can evolve independently.

Deliverables

  • OpenAPI-first endpoint design
  • Versioned API structure
  • Auth, rate limit, and webhooks blueprint

Why startups choose this: Best for teams planning to add Python backend services in upcoming product phases.

AI Security and Governance

Implement safe AI patterns including access controls, PII protection, audit logs, and policy enforcement.

Deliverables

  • Security policy template
  • Prompt and data safety checks
  • Compliance-aligned architecture notes

Why startups choose this: Important for B2B startups serving regulated customers and enterprise buyers.

Startup Insight

What AI Startups Are Prioritizing Now

Agentic automation is becoming core

AI startups are moving from single prompts to multi-step workflows that can reason, call tools, and complete business tasks.

Vertical AI products are winning

Domain-specific solutions are outperforming generic assistants by combining industry context, workflow rules, and custom data.

Security and governance matter earlier

Buyers expect privacy controls, auditability, and safe deployment patterns from day one, especially in B2B settings.

API-first architecture scales faster

Teams that design products around reusable APIs can iterate quickly and connect AI features across multiple applications.

FastAPI-Ready Delivery

Corniya services are designed to integrate with Python backends and FastAPI microservices. We define clear API contracts early so your frontend, AI pipelines, and backend services stay aligned.

API Contract First

Versioned endpoints, typed payloads, and OpenAPI-compatible schemas.

Production Readiness

Auth strategy, observability, error handling, and async task patterns ready for scale.