Years on Market
AI & Automation
AI and automation, built into how you operate.
AI chatbots, document processing, workflow automation, and LLM-powered features integrated into your product.
11+ 1,200+ Successful Projects
23+ Countries Served
11 Industries Served
Key challenges
Where AI projects stall before they save any time.
Manual work
Hours lost to copy-paste
Teams re-key the same data between the CRM, email and spreadsheets every day.
Outgrown tools
Automation chains that keep breaking
Zapier flows that worked at small scale become fragile and hard to change.
AI hype
Demos that never reach production
Impressive prototypes with no path into your product or operations stack.
Unclear ROI
No number for the payoff
AI projects get approved without a figure for the hours they should save.
Our approach
Practical AI from the team that also has to run it in production.
We build practical AI — chatbots trained on your data, document pipelines that extract what matters, and automations that connect the tools you already use.
No sci-fi demos. Production systems that save hours every week and ship inside your product or operations stack.
What We Offer
AI that pays for itself in saved hours.
Support Chatbots
Answer customer questions 24/7 using your docs, policies, and product data.
Document Processing
Extract fields from invoices, forms, and contracts automatically.
Workflow Automation
Connect CRM, email, sheets, and APIs — eliminate copy-paste work.
Product AI Features
Smart suggestions, summaries, and generation inside your app.
The difference
How we run every engagement.
Four commitments that define how every DevNexum project runs.
Senior engineers only
Every line written and reviewed by experienced engineers. No junior handoffs.
Written scope first
Scope, timeline and quote agreed in writing before work begins.
You own everything
Code, credentials and IP handed over on delivery. No lock-in.
Direct access
Talk to the engineers building your product, not an account manager.
Case studies
View all case studiesReal work. Real outcomes.
Client projects we've shipped, with the results they delivered.
Process
How we deliver your AI project
Discovery Workshop
We audit your data sources, map the manual workflows, and agree the automation scope in writing.
Prototype & Validate
A working proof-of-concept on your real data before full build begins — no surprises.
Build & Integrate
Production pipeline, model tuning, and API integrations with your existing systems.
Deploy & Monitor
Cloud deployment, alerting, and a handover session so your team can run it independently.
How to engage
Get in touchThree ways to work together.
- Fixed scope
Project-Based Delivery
A defined outcome scoped, priced and delivered end to end. You know the cost, timeline and deliverables before work begins.
Best for a single, well-defined build
- Ongoing
Embedded Engineering Team
Senior engineers working directly on your product roadmap — sprint by sprint, with full context and continuity.
Best for continuous product development
- Support
Post-Launch Partnership
Ongoing development, maintenance and support after launch. We stay close to the codebase we built.
Best for products already in production
Tech Stack
Tools we use for this service.
Production-grade technology for reliability, security, and maintainability.
- OpenAI
- Anthropic
- LangChain
- RAG
- Node.js
- Python
- Webhooks
- Vercel
- Railway
- PostgreSQL
Industries We Focus
View all industriesIndustries we serve with this service.
Teams drowning in manual work or adding AI as a product differentiator.
FAQ
Common questions about AI & Automation
Let's build something useful
Have something worth building?
Tell us what you're building. A senior engineer replies to every inquiry.
Reviewed by a senior engineer, not a sales rep
A written scope and quote, yours to keep
No obligation to work with us afterwards