AI built right into your stack.

We embed LLMs into the tools and workflows you already use grounded on your own data with retrieval, guardrails, and the right model for the job.

100+Projects shipped
9+Years building
6Disciplines
30+Services offered

Overview

AI, wired into what you already use

The best AI disappears into your existing tools.

Any

LLM

RAG

on your data

Secure

by design

  • Inside your stackAI features added to the apps you already run.
  • Grounded on your dataRAG and embeddings keep answers accurate and current.
  • Guardrailed & safeControls that keep outputs on-policy and on-topic.
  • Right model per taskWe pick the model that fits the job and the budget.
  • OpenAI
  • Claude
  • Vector DB
Discuss your model

What we build

The stack we assemble

Proven building blocks, assembled and wired end to end.

5building
blocks
  • LLM gatewayOne secure API in front of any model you choose.3
  • RAG pipelineGrounds answers on your private data for accuracy.3
  • In-app AI featuresSummarise, draft, and search right inside your tools.3
  • GuardrailsKeeps outputs safe, on-policy, and private by default.3
  • ObservabilityMonitor quality, cost, and usage in production.3
  • OpenAI
  • Claude
  • Open-source
  • Embeddings
Scope your stack

Why this approach

Custom-built vs the alternative

Same job, two very different outcomes.

Recommended

Custom-built with Exarth

AI embedded into your stack, grounded on your data, model-agnostic, and safe to run in production.

Alternative

Bolt-on AI / single-vendor lock-in

A bolted-on tool locked to one vendor, ungrounded, and risky to trust with real work.

  • FitInside your existing tools
  • GroundingOn your private data
  • FlexibilityAny model, swappable
  • SafetyGuardrails & PII control
  • ControlCost & quality monitored

Real value comes from AI wired into your data and workflow not a generic chatbot bolted on the side.

Build it the right way

How we work

From idea to production

Four phases with demos and deliverables at every step.

  1. Week 101

    Scope

    We pinpoint the highest-value use cases.

  2. Week 1–302

    Ground

    We build the retrieval layer on your data.

  3. Week 3–603

    Integrate

    We wire AI into your apps with guardrails.

  4. Week 6+04

    Operate

    We monitor quality, cost, and usage.

Technology

Built on a modern AI stack

Tools chosen to fit the problem, not the hype.

SpeedSecurityScalabilityMaintainability
  • Models3The right model per task.
    • OpenAI
    • Claude
    • Open-source
  • Retrieval3Accurate, cited answers.
    • Embeddings
    • Pinecone
    • pgvector
  • Orchestration2Reliable AI workflows.
    • LangChain
    • LlamaIndex
  • Ops3Safe, cost-aware production.
    • Evals
    • Logging
    • Tracing

Sectors we engineer for

Industries built for real friction

Pick a sector to see what we build for it.

01 / 10

Healthcare

HIPAA-aware platforms for clinicians and patients.

  • Patient & provider portals
  • Telemedicine & scheduling
HL7/FHIRSecure APIs
Discuss a Healthcare project

Featured work

Featured work

Exarth built Eyden as a location-aware AI gardening copilot calendars, a virtual garden planner with AI tasks, and a chat assistant grounded on plant care knowledge.

AI

garden copilot

Chat

assistant

Location

aware care

The challenge

Growers needed more than a blog: timely, location-aware guidance and a chat path that answers plant questions without sending them hunting through articles.

  • Built a location-aware AI gardening copilot
  • Added calendars, planner tasks, and chat
  • Grounded answers on plant-care knowledge
View full case study

The result

AI that earns its keep

Results your business feels once it's live.

AnyLLM
RAGon your data
Secureby design
Faster workAI removes the busywork inside your tools.
Accurate & groundedAnswers from your data, with citations.
Safe in productionGuardrailed, monitored, cost-controlled.

Explore more

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