AI Development Services

As a full-service AI development agency, Othex Corp delivers end-to-end AI engineering, from RAG consulting and LLM integration to custom AI solutions built for production. Every service is designed to move your project from concept to deployed, reliable system.

RAG & Vector Databases

We design and implement retrieval-augmented generation systems that ground LLM outputs in your proprietary data. Our pipelines include document ingestion, chunking strategies, embedding generation, and optimized vector search using tools like Pinecone, Weaviate, Qdrant, and pgvector. For example, we recently built a RAG system that let a logistics company search 10,000+ internal docs by meaning instead of keywords, cutting average research time from 20 minutes to under 30 seconds.

  • Document processing & chunking pipelines
  • Embedding model selection & optimization
  • Vector database architecture & deployment
  • Hybrid search (semantic + keyword)
  • Real-time index updates

LLM Integration & Fine-Tuning

From API integration to custom fine-tuning, we help you get the most out of large language models. We work with OpenAI, Anthropic, open-source models, and custom deployments to find the right fit for your use case. One recent project involved benchmarking five models against a client's domain-specific data, then fine-tuning the winner to achieve 40% better accuracy on their compliance review tasks.

  • Model selection & benchmarking
  • Prompt engineering & optimization
  • Fine-tuning on domain-specific data
  • Multi-model orchestration
  • Cost optimization & caching strategies

AI Safety & Guardrails

Deploy AI responsibly with comprehensive safety frameworks. We implement content filtering, output validation, bias detection, and compliance controls to ensure your AI systems operate within defined boundaries.

  • Input/output content filtering
  • Hallucination detection & mitigation
  • Bias auditing & fairness testing
  • Compliance frameworks (SOC 2, HIPAA)
  • Monitoring & alerting systems

Full-Stack AI Applications

End-to-end development of production-grade AI applications. We handle everything from the user interface to the inference backend, building applications that are fast, reliable, and ready to scale.

  • React/Next.js frontends
  • Python/Node.js AI backends
  • Real-time streaming interfaces
  • Authentication & authorization
  • CI/CD & automated testing

Cloud Architecture & DevOps

We design cloud infrastructure purpose-built for AI/ML workloads. From GPU provisioning to model serving, we optimize for performance, cost, and reliability across AWS, GCP, and Azure.

  • GPU cluster management
  • Model serving & inference optimization
  • Kubernetes & container orchestration
  • Infrastructure as Code (Terraform, Pulumi)
  • Cost monitoring & auto-scaling

Custom AI Solutions

Every business is different. We build custom AI systems tailored to your specific challenges, whether that's automating internal workflows, building intelligent agents, or creating entirely new AI-powered products. We've built everything from multi-agent systems that run autonomous marketing operations to AI middleware that bridges legacy ERPs with modern platforms.

  • AI agent development
  • Workflow automation
  • Data pipeline engineering
  • Legacy system AI integration
  • Proof of concept & prototyping
Discuss Your Project

Want to see these services in action? View our case studies →

Our Technology Stack

Battle-tested tools and frameworks we use to deliver production-grade AI systems.

AI / ML

LLMsRAGFine-TuningEmbeddingsAgentsComputer VisionNLP

Data

Vector DBsData PipelinesETLReal-time Processing

Full Stack

ReactNext.jsNode.jsPythonTypeScript

Infrastructure

AWSGCPKubernetesDockerTerraformCI/CDMLOps

Engagement Models

Flexible ways to work together, tailored to where you are in your AI journey.

Project-Based

Starting at $15K

Fixed scope and timeline, ideal for MVPs, proof-of-concepts, and well-defined deliverables. We scope it, build it, and hand it off with full documentation and knowledge transfer. RAG MVPs typically start around $15K; full-stack AI applications from $40K+.

Most Popular

Retainer

From $8K/month

Ongoing development, optimization, and support. Perfect for teams that need continuous AI engineering capacity without the overhead of full-time hires. Includes dedicated engineering hours, priority support, and regular strategy sessions.

Consulting

AI Audit from $5K

Strategic guidance, architecture reviews, and technical advisory. We help your team make the right decisions on AI strategy, tooling, and infrastructure. Our AI Audit evaluates your data readiness, identifies high-impact opportunities, and delivers a concrete roadmap.