Enterprise AI Development Company
Move from experimental AI prototypes to scalable production systems. As a trusted AI development company, eDelta designs and engineers custom generative AI applications, autonomous multi-agent workflows, high-precision computer vision algorithms, and enterprise RAG pipelines built for enterprise reliability, low latency, and uncompromised data privacy.
Partner with an Expert AI Development Company to Build Intelligent Software
We bridge the gap between academic AI research and practical enterprise software. Our engineers develop production-ready models that integrate directly into your daily operational workflows.
Custom LLM & Generative AI Engineering
Build proprietary generative AI applications tailored to your business domain. We fine-tune Small Language Models (SLMs) and foundational LLMs, design prompt engineering pipelines, and implement deterministic guardrails.
Autonomous AI Agents & Agentic Workflows
Deploy autonomous AI agents capable of multi-step reasoning, tool execution, and dynamic planning using LangGraph and CrewAI. Automate end-to-end knowledge workflows with minimal human supervision.
Enterprise RAG & Semantic Search
Architect high-speed Retrieval-Augmented Generation (RAG) engines. We implement dense vector embeddings, hybrid keyword-vector search, semantic reranking, and chunking strategies that deliver sub-second search accuracy.
Computer Vision & Intelligent Document Processing
Extract structured intelligence from visual media. We train vision transformers (ViTs) and CNNs for automated defect detection, facial deduplication, multi-page invoice OCR, and video stream analytics.
Predictive Analytics & Machine Learning
Transform historical enterprise data into proactive foresight. We engineer custom ML models for demand forecasting, customer churn prevention, fraud anomaly detection, and algorithmic pricing engines.
Private VPC & Edge AI Deployment
Maintain total data sovereignty. We deploy optimized open-source models (Llama, Mistral, DeepSeek) inside your private AWS/GCP VPC or on-premise hardware using vLLM and TensorRT for complete data privacy.
Enterprise AI Technology & Infrastructure Stack
Our AI software engineering stack is built on battle-tested frameworks, state-of-the-art vector engines, and high-throughput inference runtimes.
Models & SLMs
- • Meta Llama 3.3 & Llama Guard
- • Mistral Large & Codestral
- • DeepSeek V3 & R1
- • Claude 3.5 Sonnet & GPT-4o
AI Frameworks
- • PyTorch & Hugging Face
- • LangChain & LangGraph
- • LlamaIndex & AutoGen
- • vLLM & TensorRT-LLM
Vector & Retrieval
- • Pinecone & Qdrant
- • pgvector on PostgreSQL
- • Milvus & ChromaDB
- • Cohere Rerank & BGE Embeddings
Ops & Cloud
- • AWS SageMaker & Bedrock
- • Google Cloud Vertex AI
- • MLflow & Weights & Biases
- • Docker & Kubernetes (K8s)
AI Engineering Case Studies
Explore how our AI development team builds real-world production systems that solve complex business and data challenges.
Computer VisionAI-Powered Face Deduplication for a US Hiring Platform
Engineered deep learning facial embedding pipelines processing millions of candidate records with 99.8% deduplication accuracy.
Agentic AI ArchitectureReal-Time Operational Context Layer with MCP Protocol
Architected a Model Context Protocol (MCP) server enabling LLMs to securely query live relational databases and enterprise tools in real-time.
Predictive MLAI Grid Intelligence for Utility Infrastructure
Built predictive computer vision and sensor telemetry algorithms that detect power grid equipment degradation months before failures occur.
Need Strategic Roadmapping Before Building?
If your organization is in the exploratory phase, our AI consulting services help leadership audit data readiness, benchmark feasibility, and calculate commercial ROI before engineering begins.
Common Questions for an AI Development Company
Everything you need to know about engineering custom artificial intelligence solutions with eDelta.
Q.What distinguishes an AI development company from a general software development agency?
An AI development company possesses specialized expertise in data engineering, neural network architectures, vector mathematics, probabilistic system evaluation, and LLMOps. Unlike general web developers who merely wrap basic third-party APIs, eDelta engineers custom model fine-tuning, RAG indexing pipelines, private VPC inferencing, and autonomous agent orchestration.
Q.How does eDelta protect our proprietary enterprise data during AI development?
We adhere to zero-data-retention standards. When using commercial APIs (like OpenAI or Anthropic), enterprise endpoints guarantee data is never used for training. Furthermore, we specialize in deploying open-weights models (such as Llama 3.3 or Mistral) completely inside your secure corporate AWS or GCP perimeter.
Q.What is the difference between your AI Consulting and AI Development services?
Our AI Consulting services focus on strategic roadmapping, feasibility assessments, technology benchmarking, and ROI prioritization. Our AI Development company services focus on full-lifecycle software engineering: writing code, training/fine-tuning models, configuring vector databases, building APIs, and deploying production software into your production environment.
Q.How much does custom AI software development cost?
Cost depends on project complexity, data preparation requirements, infrastructure needs, and whether you require custom fine-tuning or RAG integration. Typical production PoCs start with fixed milestone budgets, followed by dedicated engineering squads for full-scale platform builds.
Q.How long does it take to develop a custom AI solution?
A functional Proof of Concept (PoC) or MVP is typically delivered in 4 to 6 weeks. Enterprise-scale production deployments with robust CI/CD, security auditing, and system integrations generally require 8 to 14 weeks.
How Can We Help You?
Join 50+ satisfied clients who have accelerated their digital transformation with our cutting-edge technology solutions. Let's discuss your project and create something extraordinary together.
