SaaS Development
Multi-tenant SaaS products with subscriptions, user management and analytics, from first release to scale.
AI Development
AI Development and Integration Services
AI development is adding machine learning and large language model features to software, such as assistants, smart search, document extraction and automated workflows. Nexdevix builds AI features into new and existing products, with guardrails, evaluation and cost controls so they work reliably in production.
What we build
Our AI Development Services
AI assistants and chat
Assistants that answer from your own documents and data, with sources.
Retrieval and smart search
Search that understands meaning, not just keywords.
Document processing
Extract data from invoices, contracts and forms into your systems.
AI workflow automation
Agents that draft, classify and route work with a human in the loop.
AI MVPs
Validate an AI product idea in weeks with a working prototype.
Evaluation and monitoring
Test sets, quality scores and cost tracking for every AI feature.
AI features that earn their place
AI is useful when it saves time or opens a new capability, and risky when it is bolted on for show. We start by finding the tasks where AI makes a measurable difference, then build the smallest feature that proves it.
How we build reliable AI features
- Retrieval first: answers come from your documents and data, with citations.
- Evaluation sets: real examples scored automatically before every release.
- Human in the loop: people approve high-stakes actions.
- Cost controls: caching, model routing and usage limits.
AI features fit naturally into SaaS products and custom software. If you are testing a new AI idea, start with an MVP.
Why Nexdevix
Why Choose Nexdevix for AI Development
Production, not demos
Guardrails, fallbacks and monitoring are part of every build.
Model-agnostic
We choose between leading models on quality, speed and cost.
Your data stays yours
Private deployments and no training on your data by default.
Measured results
Each feature has a metric, such as time saved or tickets deflected.
Process
How We Deliver Your Project
Step 1 · 1–2 weeks
Discovery
Workshops to agree goals, users, scope and a fixed estimate.
Step 2 · 1–3 weeks
Design
Wireframes and a clickable prototype you approve before code.
Step 3 · 4–12 weeks
Development
Two-week sprints with a working demo at the end of each one.
Step 4 · 1–2 weeks
Testing and launch
Automated and manual QA, security checks, then a staged release.
Step 5 · Ongoing
Support and growth
Monitoring, fixes and new features on a monthly plan.
Technologies
Technologies We Use for AI Development
Pricing
How Much Does AI Development Cost?
- Typical cost
- $10,000 – $120,000+
- Typical timeline
- 4 – 16 weeks
The cost of ai development depends mainly on scope. These are the factors that move the price most:
- Quality and volume of the data the AI uses
- Accuracy needed and how errors are handled
- Integrations with your product and tools
- Usage volume, which drives model costs
Prices in USD. You get a written, fixed estimate after a free discovery call.
FAQ
AI Development FAQs
Can you add AI features to our existing product?
Yes. Most of our AI work adds features such as assistants, search or automation to software that already exists, through APIs and background jobs.
How do you stop the AI from making things up?
We ground answers in your own data with retrieval, show sources, set clear refusal rules and test against an evaluation set before every release.
How much does an AI feature cost to run?
It depends on usage. We estimate monthly model costs during discovery and use caching and smaller models where quality allows.
Is our data used to train AI models?
No. We use provider settings and contracts that exclude your data from training, and can deploy in your own cloud account.
Related
Related Services
API Development
Secure, documented REST APIs and integrations with payments, CRMs and other services.
MVP Development
Launch a working product in 8 to 12 weeks, test it with real users and raise with evidence.