Custom LLM Development
We build and fine tune language models on your data, so the output speaks your domain instead of generic text.
Generative AI
Generative AI, built around your business
We help you find where AI genuinely helps, then build it. From assistants to automation to custom models, we ship AI you can rely on in production, not just in a demo.
- Generative AI
- LLM Integration
- AI Agents
What's included
What we build with AI
From custom assistants to automation, here is the kind of AI work we take on.
AI Agents and Assistants
Assistants that handle real tasks and answer in your context, available around the clock.
Content Automation
Tools that draft, generate, and scale your content, so your team spends less time on repetitive work.
Predictive Analytics
Models that read your data and surface what is likely to happen next, so you can act earlier.
Why Codniv
Why teams pick us for AI
01
We start with the problem
We do not lead with technology. We look at your use case and your data first, then choose the approach that actually fits.
02
Built to fit your stack
Our AI work slots into the systems you already run, with as little disruption as possible.
03
Safe and ready to scale
We design for privacy and add guardrails, so what we build holds up as your data and your users grow.
04
We keep it sharp
AI is not done at launch. We measure the output and tune it as the real world changes.
How we do it
How we build with AI
AI work succeeds or fails on the data and the use case, so that is where we begin.
Discovery and feasibility
We look at your data, your use case, and what success means. If AI is not the right tool for the job, we tell you early.
Data and model selection
We choose between an existing model, fine tuning, or retrieval. What your data supports decides this, not the hype.
A working prototype
We build a small version you can try in weeks, so you judge the real output before we go further.
Integration and guardrails
We connect the model to your systems and set limits, so it stays accurate, safe, and within scope.
Evaluation and tuning
We measure the output against real cases and tune until it holds up. AI is rarely right on the first pass.
Monitoring
Once it is live, we watch how it behaves and keep it sharp as your data and your users grow.
FAQ
Common questions
Anything else, ask us directly at info@codniv.com.
Do you train models from scratch?
Rarely, and only when it is justified. Most needs are met better by using a strong existing model with your data, through fine tuning or retrieval. We pick the approach that fits your data and your budget.
Is our data safe?
Your data stays yours. We design for privacy from the start, and when sensitivity calls for it, we can run models in an environment you control.
How do we know the AI is accurate?
We measure the output against real cases before launch and keep monitoring after. Accuracy is something we prove and maintain, not something we assume.
Can you add AI to our existing product?
Yes. Much of our AI work is fitting intelligent features into systems that already exist, with as little disruption as possible.
Available for new projects
Interested in partnering?
Tell us what you are building. We read every message and reply within a day, and the first conversation is about your problem, not a sales pitch.