DHD Tech delivers end-to-end AI and machine learning solutions for US companies that need production-grade AI without the overhead of building an in-house ML team. Our senior engineers in Brazil work in your timezone, speak fluent English, and bring deep expertise in modern AI architectures — from LLM integrations and RAG pipelines to computer vision and predictive analytics.
Our AI & ML Capabilities
We cover the full spectrum of AI and machine learning development, from initial proof-of-concept to production deployment and ongoing optimization.
- LLM Integration & Fine-tuning — Connect OpenAI, Anthropic, or open-source models to your product with custom fine-tuning for your domain
- RAG Pipelines — Build retrieval-augmented generation systems that ground AI responses in your proprietary data
- Computer Vision — Object detection, image classification, OCR, and video analysis for manufacturing, retail, and healthcare
- Predictive Analytics — Forecast demand, detect anomalies, and optimize operations with custom ML models
- Conversational AI — Build intelligent chatbots and voice assistants that understand context and drive outcomes
- MLOps & Model Deployment — CI/CD for ML models with monitoring, versioning, and automated retraining
How We Deliver AI Projects
Every AI engagement starts with a discovery phase where we assess your data, define success metrics, and design the right architecture. We don't sell AI for AI's sake — we build solutions that deliver measurable business value.
- Discovery & Data Assessment — We evaluate your data quality, identify gaps, and define a realistic roadmap
- Architecture Design — Choose the right models, infrastructure, and integration patterns for your scale
- Iterative Development — Two-week sprints with working demos, so you see progress and can steer direction
- Production Deployment — Battle-tested deployment with monitoring, failover, and cost optimization
- Ongoing Support — Model monitoring, retraining, and continuous improvement
Why Choose DHD Tech for AI
Most AI outsourcing firms assign junior developers to AI projects and hope for the best. We only staff senior engineers with proven production AI experience.
- Senior-only engineers — Every AI engineer on our team has 5+ years of production ML experience
- Founder involvement — Diogo personally reviews every AI architecture decision
- US timezone alignment — Real-time collaboration with your team, not async handoffs
- Full-stack AI — We handle the ML model AND the software engineering around it
- Security-first — SOC 2 awareness, data encryption, and compliance built into every project
Technologies We Use
Frequently Asked Questions
A proof-of-concept typically takes 4-6 weeks. Production deployment ranges from 3-6 months depending on complexity, data readiness, and integration requirements. We always start with a discovery phase to set realistic timelines.
Yes. We integrate with your existing data warehouses, lakes, and pipelines. Whether you use Snowflake, BigQuery, Databricks, or custom infrastructure, our engineers have experience connecting ML workflows to enterprise data systems.
We work with all major model providers including OpenAI (GPT-4), Anthropic (Claude), Google (Gemini), and open-source models (Llama, Mistral). We also fine-tune and deploy custom models when off-the-shelf solutions don't meet your requirements.
Data security is built into every engagement. We use encrypted connections, follow least-privilege access principles, and can work within your VPN or cloud environment. We sign NDAs and can accommodate specific compliance requirements (HIPAA, SOC 2, GDPR).
Our senior AI engineers work at nearshore rates — typically 40-60% less than US-based AI talent. We offer both project-based pricing and monthly retainer models. Contact us for a custom quote based on your specific needs.