We build production AI that actually ships.
From RAG pipelines and private LLMs to autonomous agents and vibe-coded delivery — DEV.co builds the full modern AI stack. Reliable, observable, and measurably better than the demo.
Six pillars of modern AI engineering.
LLM Applications
Customer-facing chatbots, copilots, content tools and assistants — built on the right model for the job (GPT, Claude, Gemini, Llama).
RAG & Knowledge Systems
Connect LLMs to your data — retrieval-augmented generation with hybrid search, reranking, and citation-grade answers.
AI Agents & Automation
Multi-step agents that browse, code, call tools and complete real work — LangGraph, CrewAI, AutoGen, custom orchestration.
Private & On-Prem LLMs
Self-hosted Llama/Mistral/Qwen on your infrastructure. Full data control, no third-party API spend, SOC2-friendly.
MLOps & Evaluation
Continuous evals, observability, guardrails, prompt versioning and CI for AI systems — so models stay reliable in production.
Computer Vision & Multimodal
Image, video and document intelligence. Detection, segmentation, OCR, generative imagery, vision-language models.
Every layer of an AI system.
Modern AI is rarely one model — it's models, retrieval, evals, infra, guardrails, and UX working together. We build all of it.
Generative AI & LLMs
- Custom LLM application development
- Vibe coding — AI-augmented software delivery
- Prompt engineering & optimization
- LLM fine-tuning (LoRA, QLoRA, full SFT)
- RLHF / DPO alignment
- Custom GPTs and OpenAI Assistants
- Multimodal apps (text + vision + audio)
- Long-context document processing
Retrieval & Knowledge
- RAG pipeline architecture
- Vector database setup — Pinecone, Weaviate, Qdrant, Chroma, Milvus, pgvector
- Embeddings & semantic search
- Hybrid search (BM25 + dense)
- Reranking with cross-encoders
- Knowledge graph integration
- Document extraction & OCR pipelines
- Citation-grounded answer systems
AI Agents & Workflow
- LangChain & LangGraph agents
- CrewAI / AutoGen multi-agent systems
- Tool use & function calling
- Browser-using agents
- Voice agents (LiveKit, Vapi, Retell)
- Customer support copilots
- Sales & RevOps automation
- Workflow automation (n8n, Temporal, Inngest)
Private & Self-Hosted AI
- On-prem Llama, Mistral, Qwen, DeepSeek deployments
- Air-gapped & SOC2/HIPAA-friendly setups
- vLLM, TGI, llama.cpp, Ollama serving
- GPU infrastructure (H100, A100, L40S)
- Model quantization (GPTQ, AWQ, GGUF)
- Inference optimization (TensorRT-LLM)
- Multi-tenant model gateways
- BYOC private cloud LLMs
MLOps & Production
- LLM observability (Langfuse, Arize, LangSmith)
- Continuous evaluation harnesses
- Guardrails & safety filters
- Prompt versioning & A/B testing
- AI gateways (LiteLLM, Portkey, custom)
- Cost & latency monitoring
- Red-teaming & adversarial testing
- CI/CD for AI systems
Computer Vision
- Object detection & segmentation
- OCR & document AI
- Video understanding & action recognition
- Generative imagery (SDXL, Flux, Imagen)
- Vision-language models (CLIP, BLIP, Florence)
- Pose estimation & tracking
- 3D reconstruction & NeRFs
- Edge vision deployments
NLP, Speech & Audio
- Sentiment & intent classification
- Named entity recognition
- Summarization & translation
- Speech-to-text (Whisper, Deepgram)
- Text-to-speech (ElevenLabs, OpenAI TTS)
- Speaker diarization
- Real-time audio pipelines
- Conversational search
Data, ML & Strategy
- Synthetic data generation
- Recommendation engines
- Forecasting & time-series
- Anomaly & fraud detection
- Classical ML & gradient boosting
- AI readiness audits
- Model selection consulting
- AI strategy & roadmap
From spike to scale in six steps.
Discover
Workshops, data audits, model selection, ROI sizing.
Design
System architecture, eval criteria, guardrails, scope.
Prototype
Working spike on real data in 2–4 weeks.
Evaluate
Golden datasets, A/B testing, human-in-the-loop QA.
Deploy
Production rollout with observability and rollbacks.
Scale
Optimization, fine-tuning, expansion to new use cases.
Fluent in the modern AI stack.
We pick the right tool — not the trendy one. Below is the slice of the ecosystem we deploy most often.
AI shipped across regulated industries.
Healthcare
Clinical documentation copilots, prior auth automation, HIPAA-grade chat.
Financial Services
Document intelligence, KYC/AML automation, advisor copilots.
Legal
Contract review, discovery, citation-grounded research assistants.
E-Commerce
Product search, generative merchandising, AI customer support.
SaaS
Embedded copilots, AI-native onboarding, in-app agents.
Manufacturing
Vision QA, predictive maintenance, RAG for technical manuals.
Education
Personalized tutors, content generation, assessment automation.
Media
Generative imagery, video tooling, content moderation at scale.
Questions clients ask us.
What does vibe coding actually mean?
Should we use a private LLM or a hosted API?
How long does a RAG implementation take?
Do you handle fine-tuning?
Which vector database should we use?
Can you build AI agents that actually work?
Have an AI project? Let's build it.
Free 30-minute scoping call. We'll review your use case, recommend a stack, and outline a realistic plan to ship.