AI only creates value when embedded in workflows people already use. Devoids integrates large language models, classical ML, and automation into web and mobile products—grounded in data governance and measurable ROI. With 75+ web projects delivered, 10+ mobile applications shipped, and in-house products such as Thoughtput, Dexter, Cashref, Pixvas, Hydrofok, and HumPlay, Devoids brings proven engineering experience—not just agency promises. We focus on production-ready features: support assistants, document extraction, forecasting, and intelligent search—not science projects that never ship.
AI use cases we implement
We start with the business outcome (time saved, errors reduced, revenue uplift) and choose the simplest model that achieves it.
- LLM-powered chatbots and internal knowledge assistants
- Document classification, OCR, and data extraction pipelines
- Recommendation engines and personalization
- Predictive analytics and anomaly detection
Responsible, secure AI delivery
We design for privacy: on-prem or VPC deployments when needed, PII redaction, prompt guardrails, and human-in-the-loop review for high-stakes decisions.
- OpenAI, Azure OpenAI, and open-source model options
- Vector databases and RAG architectures
- Model monitoring and feedback loops
- Cost controls and latency optimization
Key benefits
Automate repetitive knowledge work
Faster customer support with AI-assisted agents
Better decisions from data you already collect
Competitive differentiation in your product category
Our process
- 1
Use case workshop
Identify high-impact, feasible AI opportunities.
- 2
Proof of concept
Validate accuracy and UX with real sample data.
- 3
Production integration
APIs, UI, monitoring, and fallbacks.
- 4
Improve
Retrain, fine-tune, and expand based on usage metrics.