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Innovaith Solutions

Technology

Built on the modern AI stack.

We're model-agnostic and pragmatic. The right system combines the right models with solid engineering: orchestration, retrieval, evaluation, infrastructure and security.
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  • AI & LLM Stack

    Models, orchestration, retrieval and the application stack we build with, and how we choose between them.

    Explore AI & LLM Stack

  • Architecture

    How agent systems are structured so they are observable, controllable and easy to evolve.

    Explore Architecture

  • Security

    Identity, access control, data isolation, prompt-injection defences and human approval.

    Explore Security

AI & LLM stack

Tools we build with.

A snapshot of the technologies we use most. We add or swap components as projects and the ecosystem demand.
Full stack & selection criteria

Language models

  • OpenAI models
  • Anthropic Claude
  • Google Gemini
  • Open-source models

AI infrastructure

  • Python
  • FastAPI
  • LangGraph
  • Agent frameworks
  • Vector databases
  • Embeddings & re-ranking
  • Evaluation & tracing

ML & computer vision

  • PyTorch
  • OpenCV
  • Detection & segmentation models
  • Multimodal models

Application stack

  • Next.js
  • React
  • TypeScript
  • Node.js

Cloud & delivery

  • AWS
  • Docker
  • Kubernetes
  • CI/CD & infrastructure as code

Data

  • PostgreSQL
  • Redis
  • Vector databases
  • Data pipelines

Agent architecture

Agents inside a governed system.

Orchestration, scoped tools, guardrails, observability and human approval are part of the architecture, not add-ons.
Architecture in depth
Agent architecture: a user works in an application, which calls an AI orchestrator. The orchestrator runs an agent system with reasoning, planning, memory, tool selection and guardrails. The agent uses tools and systems such as APIs, databases, CRM, ERP, search, documents and external services. Actions are executed, monitored through observability, and routed for human approval when required.

L1

Interface

Useremployee, customer or system
Applicationweb, chat, voice or API

L2

Orchestrate

AI orchestratorroutes goals, manages state, enforces budgets and policy

L3

Agents

Agent system

  • Reasoning
  • Planning
  • Memory
  • Tool selection
  • Guardrails

L4

Tools

  • APIs
  • Databases
  • CRM
  • ERP
  • Search
  • Documents
  • External services

L5

Run & govern

Executionidempotent, logged actions
Observabilitytraces, evals, cost
Human approvalwhen required

Traces and evaluation results feed back into the orchestrator and agent design.

Security

AI systems built with security in mind.

Security approach

  • Authentication

    Strong identity for users, services and agents, integrated with your identity provider.

  • Authorisation & RBAC

    Role-based access enforced at every layer, including what an agent is allowed to do.

  • Encryption

    Data encrypted in transit and at rest, with keys managed outside application code.

  • Secure API design

    Validated inputs, scoped tokens, rate limits and least-privilege service accounts.

  • Secrets management

    Credentials kept in a secrets manager, never in code, prompts or client bundles.

  • Audit logging

    Tamper-evident records of user actions, agent decisions and tool calls.

Idea → Architecture → Prototype → Production → Scale

Have an idea to build, or an agent to test?

Tell us what you're trying to build, test, automate or improve. We'll tell you honestly where we can make a real difference, and where we can't.

Book a free 30-min chatadmin@innovaith.com