AI Agent Development Services
Looking to deliver more value to your customers in this Agentic era? Struggling to get real ROI from an agentic workflow? We offer expert guidance and support, from idea to fully functional production-ready AI agentic systems on your data.
As an AI agent development company with roots in data and search engineering, our AI agent development services cover the full lifecycle: we design, build, and deploy custom AI agents that deliver real business value - not just impressive demos. Our engineers bring deep experience in RAG pipelines, agent orchestration, and enterprise AI deployment.
We bridge the gap between AI experimentation and enterprise-grade deployment. 6 weeks from ideation to production, guaranteed.
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Featured Case Studies
Max Security partnered with BigData Boutique to build SCOUT AI, an AI-powered agent that makes their proprietary intelligence instantly accessible. The solution combines OpenSearch, AWS Bedrock, and Anthropic Claude to deliver fast, accurate answers with visual insights, cutting briefing time by 79% and saving analysts 7 hours per week.
ScreenSteps partnered with BigData Boutique to build a hybrid search framework combining Elastic Cloud, AWS Bedrock, Nova, and Cohere V4. The new architecture dramatically improved search precision, strengthened feedback loops, and reduced searches that failed to produce the correct result.
The Challenge
Building AI agents that work in demos is easy. Building AI agents that work reliably in production is hard. Organizations struggle with hallucinations, inconsistent outputs, poor retrieval quality, security concerns, and the gap between prototype and production-grade systems. Most AI POCs never make it to production.
Agentic workloads introduce unique challenges: complex orchestration logic, tool integration, evaluation and testing frameworks, guardrails, observability, and cost management at scale. Success requires expertise that spans AI/ML, data engineering, search technology, and enterprise software development. That combination is rare, and most teams lack it.
AI Agents for Business
The AI agents we build do real work. For Max Security, we built SCOUT AI, an intelligence agent that cut analyst briefing time by 79%. For ScreenSteps, a hybrid search framework that sharply reduced failed searches. Common AI agents use cases we deliver include customer support and service agents, internal knowledge assistants, research and intelligence briefings, and workflow automation over enterprise data. Whether you need a single production agent or a full agentic platform, we scope the engagement around numbers you can track: accuracy, latency, and cost per query.
Custom AI Agent Development Services
Every business runs on different data, systems, and workflows, so we build custom AI agents around yours, end to end:
Discovery & POC
We start with understanding your use case, data landscape, and business objectives. We build a focused proof of concept that validates the approach, demonstrates value, and identifies technical risks early, before committing to full-scale development.
Architecture
We design the architecture for your agentic workload, including agent orchestration patterns, RAG pipeline design, tool integration strategy, evaluation framework, and deployment architecture. Every decision is informed by production requirements and real-world constraints.
Implementation
Our engineers build your custom AI agents with production-grade code quality. We implement RAG pipelines, agent logic, tool integrations, evaluation suites, and observability, all with proper testing, documentation, and knowledge transfer to your team.
Production Hardening
We harden your agentic workload for production with guardrails, security controls, cost optimization, scaling strategies, and comprehensive monitoring. We ensure your AI agents perform reliably and safely at scale, with clear runbooks and escalation procedures.
Why Choose Us as Your AI Agent Development Company
Data + AI Expertise
Agentic workloads sit at the intersection of data engineering, search technology, and AI/ML. Our unique combination of 15+ years in search and data with modern AI expertise means we build agents that are grounded in solid data foundations rather than thin LLM wrappers.
Production Focus
We don't just build POCs. We deliver production-ready systems. Every decision we make is informed by production requirements: reliability, scalability, security, cost management, and observability. We bridge the gap that stops most AI projects from reaching production.
End-to-End Delivery
From initial discovery through production deployment and ongoing support, we handle every aspect of your agentic workload. No need to coordinate multiple vendors or bridge gaps between research and engineering - we deliver the complete solution.
Frequently Asked Questions
How much does AI agent development cost?
AI agent development cost depends on scope. A focused single-agent POC typically starts in the tens of thousands of dollars, while a production agent with RAG, tool integrations, evaluation, and hardening is a larger engagement. We scope every project around measurable outcomes (accuracy, latency, and cost per query) and give you a fixed plan and budget after a short discovery phase.
What is AI agent development?
AI agent development is the process of building software agents powered by large language models that can reason, use tools, and act on your data and systems, going well beyond chat. It covers agent architecture and orchestration, retrieval (RAG), tool calling and integrations, evaluation, guardrails, and production deployment.
How long does it take to build a production AI agent?
Our standard path is 6 weeks from ideation to production: use-case fit and data audit first, then building the agent against your real data, then production hardening with evals, guardrails, observability, and cost controls.
Should we use an AI agent builder platform or custom development?
No-code agent builders are great for simple internal automations. When agents need to work on proprietary data, integrate deeply with your systems, meet enterprise security requirements, or hit accuracy and latency targets, custom AI agent development pays for itself: you own the architecture, the data stays in your cloud, and the system is engineered for production.
Which stacks and models do you build agents on?
We build on AWS Bedrock, Anthropic Claude, OpenAI, and leading open-source models, with retrieval on Elasticsearch, OpenSearch, and vector databases, and data platforms like ClickHouse and Databricks. We are vendor-neutral and pick the stack that fits your requirements and budget.
Ready to Build AI Agents That Work?
Schedule a consultation with our AI engineering team to discuss your agentic workload requirements. We'll evaluate your use case, assess technical feasibility, and outline a path from POC to production-ready AI agents on your data.
Related AI Resources: Generative AI Development Services · AI Consulting Services · MLOps Consulting · GenAI & RAG on AWS · What is Agentic AI?
