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GenAI Development Services

GenAI Development

Generative AI that works inside your business.

Turn language models into useful products. Shaaneiol Tech builds copilots, assistants, and content tools grounded in your own data, with the guardrails a real business needs.

  • Copilots
  • Assistants
  • Content
  • Search

Useful AI. Grounded answers. Safe by design.

A laptop with a chat assistant, document search and content tools around it
What we deliver

GenAI capabilities that move from demo to production

From the first prototype to a monitored release, a connected approach to building with large language models.

Use-case discovery

Find where generative AI saves time or adds value, and where it does not belong.

  • Opportunity mapping
  • Feasibility
  • Priorities

Copilots & assistants

Build assistants that answer questions and complete tasks inside your tools.

  • Chat interfaces
  • Task actions
  • Handoff to people

Knowledge retrieval (RAG)

Ground answers in your documents and data so responses stay accurate and current.

  • Document ingestion
  • Vector search
  • Source citations

Content generation

Draft emails, summaries, and product text in your brand voice with human review.

  • Brand voice
  • Templates
  • Review steps

Safety & guardrails

Control what the model can see and say, with filters, logging, and access rules.

  • Access control
  • Output filters
  • Audit logs

Evaluation & monitoring

Measure answer quality and cost after launch, and improve prompts and models over time.

  • Test sets
  • Quality scores
  • Cost tracking
Our process

From first idea to a live GenAI product

A clear delivery path, with priorities you can understand and progress you can follow.

  1. 01

    Discover

    Choose the use cases where generative AI is worth building.

  2. 02

    Prototype

    Test an early version with real examples from your data.

  3. 03

    Build

    Connect models, data, and your existing systems.

  4. 04

    Launch

    Release to a small group with monitoring and human review.

  5. 05

    Improve

    Track quality and cost, then refine prompts and models.

Focus areas

GenAI levers across your whole workflow

Combine models, data, and guardrails so AI helps people instead of surprising them.

  • Copilots
  • Chat assistants
  • RAG search
  • Content drafting
  • Document summaries
  • Prompt design
  • Model evaluation
  • Guardrails
Deliverables

GenAI assets your team can actually run

Working prototype. Clear evaluation. A safe path to launch.

01

Use-case roadmap

Ranked opportunities with expected value and effort.

02

Working prototype

A tested assistant or tool built on your own content.

03

Data & retrieval setup

Your documents prepared, indexed, and kept up to date.

04

Prompt & guardrail pack

Documented prompts, filters, and access rules.

05

Evaluation report

Test results showing accuracy, speed, and cost.

06

Launch runbook

How to monitor, update, and support the system.

Why Shaaneiol Tech

Practical GenAI. Not hype.

Combine model choice, your data, and clear guardrails, with decisions grounded in your use case and your risk limits.

AI built around your business.

Start from the work your teams do today, then add generative AI where it saves time. Keep answers grounded in your own content and people in control.

Grounded answers

Responses based on your documents, with sources shown.

Privacy first

Your data stays under your control and out of public model training.

Production-ready code

Clean, documented builds your engineers can maintain.

Measured quality

Test sets and monitoring show if answers get better or worse.

Questions, answered clearly.

Can’t find what you need? Let’s have a quick, no-pressure conversation.

How much does a GenAI project cost?

Cost depends on the use case, the data work, and how many systems connect. We start with a small prototype so you see value and a clear estimate before a larger build.

  • Prototype first
  • Clear estimate
  • No hidden fees
Is our data safe?

Yes. We design for privacy from the start, with access rules, encryption, and settings that keep your data out of public model training.

  • Access rules
  • Encryption
  • Private setup
How long until we have something working?

A focused prototype is often ready in a few weeks. A production release follows once quality, safety, and integrations are tested.

  • Weeks to prototype
  • Staged release
  • Weekly demos
Will the AI make mistakes?

Any model can be wrong. We reduce errors with grounded data, tests, and human review, and we show sources so answers can be checked.

  • Grounded answers
  • Human review
  • Source links

Hire Our Dedicated GenAI Developers

Build copilots, assistants, and content tools with engineers who take generative AI from prototype to production.