Generative AI Solutions

From content and code generation to synthetic data and document automation, generative AI built into your product, not bolted on.

Text Generation Image Generation Document Automation Fine-Tuning RAG
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Overview

What Our Generative AI Team Delivers

Generative AI is more than a chat window bolted onto your app. We design GenAI features that solve a specific product or business problem: auto-generating marketing copy and odds summaries for iGaming platforms, drafting compliance documents and reports for FinTech, generating patient summaries for Healthcare, or producing product descriptions and personalization at scale for E-commerce.

We work across text, image, and structured-document generation, choosing the right base model, prompting strategy, or fine-tuning approach for the accuracy and cost profile you need. Where off-the-shelf models fall short, we fine-tune or build retrieval layers so outputs stay grounded in your domain, brand voice, and data.

Every GenAI feature ships with evaluation metrics, so you know how it performs before and after launch, not just how it looks in a demo.

When this service helps most

  • Manual content, reporting, or documentation work that scales poorly with growth
  • Product features that need personalized, on-brand generated content
  • Teams wanting to add GenAI capability without hiring an in-house ML team
  • Need for synthetic data to train or test other models
Key Capabilities
GenAI feasibility review and use-case scoping
Text, image, and document/report generation
Prompt engineering and model fine-tuning
RAG pipelines for domain-grounded outputs
Content moderation and safety filtering
Output evaluation and quality benchmarking
How We Work

Our Generative AI Development Process

01
Use-Case Discovery
02
Model Selection
03
Prompt Engineering & Grounding
04
Fine-Tuning
05
Safety & Moderation Layer
06
Integration & Testing
07
Deployment & Monitoring
Tech We Use

Technology Stack

Python
Anthropic Claude
OpenAI GPT
Stable Diffusion
Python
Anthropic Claude
OpenAI GPT
Stable Diffusion
Hugging Face
LangChain
Vector DBs
FastAPI
Hugging Face
LangChain
Vector DBs
FastAPI
Flexible Engagements

Choose the Right Delivery Model

We keep engagement models flexible so you can start small, move fast, or scale a dedicated product team when the roadmap grows.

01

Fixed Price

Best For: Well-defined projects

Clear scope, fixed budget, defined milestones. Perfect for MVPs and Phase 1 builds.

Clear milestones & budgets
Defined requirements upfront
Ideal for MVPs and POCs
No surprise invoices
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02

Time & Material

Best For: Evolving requirements

Agile-first approach where you pay for actual hours worked. Maximum flexibility.

Agile-first approach
Pay for actual hours worked
Scale team up or down
Weekly progress reports
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03

Dedicated Team

Best For: Long-term product dev

Fully embedded engineers, daily standups, and CTO-level technical oversight.

Full-time dedicated engineers
Daily standups & demos
CTO-level oversight
Transparent monthly billing
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Common Questions

Frequently Asked Questions

Straight answers about brand voice, moderation, training data, and practical GenAI implementation.

Yes. Through prompt engineering, style guides, and fine-tuning where needed, we tune outputs to your brand voice, tone, and domain-specific terminology.
We add moderation layers, output filters, and human-review checkpoints for sensitive content categories, tuned to your industry's compliance requirements.
Not necessarily. Many use cases work well with prompting and retrieval over your existing documents. Fine-tuning with your own data is used only where accuracy demands justify it.
Ready to Build?

Ready to Add Generative AI to Your Product?

Tell us what you want to generate. We'll recommend the right models and architecture.