AI Agent Development Company

AI agents built for
regulated industries
not generic demos

Most AI agent development shops build generic chatbots and call it innovation. We build autonomous AI agents for healthcare, legal, and compliance — with PHI guardrails, audit trails, and the regulatory awareness that keeps your organization safe. Production-ready. Not proof-of-concept theater.

Discuss Your AI Agent Project → See Our Work

Free 30-minute assessment. We'll tell you if an AI agent is even the right solution.

$220K+ annual ROI delivered
100ms query speed on 1M+ docs
8–12 weeks to production
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The AI agent market is flooded with generic development shops that have never touched a compliance requirement. They build impressive demos that fall apart the moment real patient data, legal documents, or regulatory audits enter the picture. Regulated industries need AI agents built by teams who understand what happens when things go wrong — because in healthcare and legal, "wrong" has consequences.
The problem Generic AI agents fail in regulated environments
85% of AI projects fail to reach production (Gartner)
AI Agent Capabilities

What our AI agents
actually do

Autonomous agents that reason, act, and comply — not chatbots with a fancy name.

Compliance-Aware Document Agents

AI agents that ingest, analyze, and act on regulated documents — legal contracts, medical records, compliance filings. Built with RAG pipelines grounded in your verified data, not hallucinated responses. Every agent action is logged for audit trails. PHI guardrails prevent protected information from leaking through AI responses. These agents don't just search documents — they understand regulatory context and flag compliance risks automatically.

Learn about our AI approach →

Intelligent Search & Retrieval Agents

Agents that search millions of documents with semantic understanding, synonym matching, and fuzzy logic. Sub-100ms response times on 1M+ document collections. Built on Elasticsearch with custom AI ranking layers that understand industry-specific terminology — legal citations, medical codes, compliance references.

Search solutions →

Process Automation Agents

AI agents that automate multi-step workflows — data processing, categorization, report generation, and decision routing. We built agents that reduced CSV processing from 20 minutes to under 3 minutes with 99.7% sync accuracy. These agents handle the tedious operational work so your team focuses on judgment calls.

AI Learning & Training Agents

Intelligent tutoring agents that generate quizzes from domain content, enable document-based chat for learning, and adapt to user knowledge levels. Built with OpenAI integration and PHI guardrails for healthcare education contexts where training content involves protected information.

Healthcare AI →

Identity Verification & Security Agents

AI-powered agents that handle biometric authentication (WebAuthn, voice verification), video identity confirmation via WebRTC, and multi-factor compliance checks. Built for DEA-regulated environments where identity verification is not optional — it is a legal requirement with criminal liability.

More Proof

AI agents in production
across regulated industries

Real projects. Real metrics. No vaporware.

Legal Document Search Platform

AI-powered search agent built on Elasticsearch indexing 1M+ legal documents. Synonym matching, fuzzy logic, and natural language queries return results in under 100ms. The agent understands legal terminology, citation formats, and case law relationships — replacing manual document review that previously took hours per query.

  • 1M+ documents indexed and searchable
  • 100ms average query response time
  • $220K+/year ROI from time savings

DEA Compliance Verification Platform

AI-driven identity verification agents with biometric authentication (WebAuthn + voice recognition) and WebRTC video verification. Built for DEA-regulated environments where compliance failures carry criminal liability. The agents handle multi-factor identity checks, credential verification, and automated compliance reporting across 875 hours of development in just 8 weeks.

  • 875 hours, delivered in 8 weeks
  • WebAuthn + voice biometric auth
  • WebRTC video identity verification

Inventory Intelligence System

AI process automation agents that transformed manual CSV data processing from 20 minutes to under 3 minutes. Automated categorization, sync validation, and anomaly detection across inventory operations. The agents maintain 99.7% sync accuracy while processing thousands of records — delivering $220K+ in annual operational ROI through eliminated manual work and reduced error rates.

  • 20 min → <3 min processing time
  • 99.7% sync accuracy
  • $220K+ annual ROI
Engagement Models

AI agent development packages

From strategy assessment to full agent platform. Every engagement starts with honest scoping — we will tell you if a simpler solution works better than an AI agent.

01

AI Strategy & Architecture

Assess AI opportunities before you commit budget

  • AI opportunity assessment for your domain
  • Data readiness and quality audit
  • Compliance requirements mapping
  • Architecture design and model selection
  • Build vs. buy recommendation
  • Implementation roadmap with milestones
$5,000 – $10,000

1–2 weeks

Get AI strategy →
Most Popular
02

AI Agent MVP

Full AI agent platform with compliance guardrails

  • Custom AI agent architecture & development
  • RAG pipeline with your domain data
  • Compliance guardrails (PHI, audit trails)
  • Multi-model support (OpenAI, Claude, Gemini)
  • Human-in-the-loop review workflows
  • Production deployment on AWS
  • Error handling, fallbacks, rate limiting
  • 4 weeks post-launch support
$20,000 – $50,000

8–12 weeks

Build your AI agent →
03

AI Integration Sprint

Add AI agent capabilities to your existing platform

  • AI capability assessment for existing system
  • Agent integration with current architecture
  • API integration (OpenAI, Claude, custom)
  • Document processing & search agents
  • Compliance layer implementation
  • Testing, deployment & monitoring
$10,000 – $25,000

4–6 weeks

Add AI to your platform →
Technology Stack

The tools behind
our AI agents

We are not locked to one vendor or framework. We select the right tools for your specific compliance requirements and use case.

AI Models & APIs

OpenAI API (GPT-4o), Claude API (Anthropic), LangChain for agent orchestration, custom RAG pipelines. Model selection based on your use case — cost, latency, context window, and compliance requirements all factor into the decision.

Backend & Infrastructure

Laravel/Vue or React/Node full-stack development. PostgreSQL with vector search extensions for embeddings. Elasticsearch for document search at scale. Redis for caching and queue management. AWS for production hosting with compliance-ready configurations.

Compliance & Security

WebAuthn biometric authentication, WebRTC for video verification, full audit logging with immutable records, role-based access controls, PHI detection and filtering, data residency controls, and encrypted data pipelines. Security is architecture, not an afterthought.

Leadership

Who builds your
AI agents

A 7-person in-house team. No subcontractors. No offshore handoffs. The people you meet are the people who build your product.

Petar Jovanovic - Co-Founder at Oktopeak

Petar Jovanovic

Co-Founder / Product Lead

Leads product strategy and AI architecture. Specializes in translating complex regulatory requirements into technical specifications that AI agents can reliably execute. Has scoped and delivered AI agent projects across healthcare, legal, and compliance verticals — including platforms handling PHI, DEA regulations, and million-document search indices.

Sasa Sladic - Co-Founder at Oktopeak

Sasa Sladic

Co-Founder / Technical Lead

Leads the engineering team on AI agent implementation. Expert in building production-grade RAG pipelines, Elasticsearch architectures for large-scale document search, and compliance-ready backend systems. Architected the technical foundations for platforms processing 1M+ documents at sub-100ms response times and AI categorization systems handling 10,000+ records.

FAQ

AI Agent Development Questions

How much does custom AI agent development cost?

AI Strategy & Architecture starts at $5K-$10K for a 1-2 week engagement covering opportunity assessment, data readiness, and compliance mapping. A full AI Agent MVP runs $20K-$50K over 8-12 weeks and includes custom agent development, RAG pipelines, compliance guardrails, and production deployment. AI Integration Sprints to add agent capabilities to existing platforms cost $10K-$25K over 4-6 weeks. Every engagement starts with a paid discovery phase — we scope before we commit.

Can AI agents work in regulated industries like healthcare and legal?

Yes, with proper architecture. We build AI agents with PHI guardrails for healthcare (detecting and filtering protected health information from AI responses), audit trails for legal compliance (logging every agent action with timestamps and user context), role-based access controls that limit what agents can access and do, and human-in-the-loop workflows that require human approval for high-stakes decisions. We have built compliant AI agents for healthcare education platforms and DEA-regulated verification systems.

What is the difference between an AI chatbot and an AI agent?

A chatbot responds to questions with text. An AI agent takes actions — it can search databases, process documents, trigger workflows, make API calls, and execute multi-step tasks autonomously. AI agents combine LLM reasoning with tool use, persistent memory, and decision-making capabilities. Think of a chatbot as someone who answers questions about a manual, and an AI agent as someone who reads the manual and then does the work.

How do you prevent AI agents from making mistakes?

Multiple layers of safety: RAG (Retrieval-Augmented Generation) grounds agent responses in your verified data instead of generating from training data. Scope constraints limit what the agent can access and do — it cannot reach data or systems outside its defined boundaries. Confidence scoring flags uncertain outputs for human review. Human review gates block autonomous action on high-risk decisions. Full audit logging records every agent action for compliance review. AI agents in regulated environments need defense in depth, not just prompt engineering.

What AI models and frameworks do you use?

OpenAI API (GPT-4o) for complex reasoning and structured outputs. Claude API (Anthropic) for long-context document analysis. LangChain for agent orchestration and tool management. Custom RAG pipelines with Elasticsearch and PostgreSQL vector search for domain-specific retrieval. Backend infrastructure on Laravel/Vue or React/Node with AWS hosting. We are vendor-agnostic — model selection depends on your latency requirements, cost constraints, context window needs, and compliance posture.

How long does it take to build a custom AI agent?

Strategy and architecture: 1-2 weeks. AI Agent MVP with compliance guardrails: 8-12 weeks. AI integration into existing platform: 4-6 weeks. Timeline depends on data complexity (how clean is your data?), compliance requirements (what regulations apply?), number of agent capabilities (search, process, generate, verify?), and integration points with existing systems. We scope everything in a paid discovery phase before committing to timelines — because honest estimates beat optimistic ones.

Taking on 2 new AI agent projects this quarter

Ready to build AI agents that actually comply?

Book a 30-minute call. We will assess your use case, evaluate whether an AI agent is the right approach, and give you an honest assessment of timeline, cost, and compliance requirements. If a simpler solution works better, we will tell you that too.

Book AI Agent Consultation →

Prefer email? office@oktopeak.com

What we will cover:

✓ Your use case & compliance requirements ✓ AI agent feasibility assessment ✓ Architecture & model recommendations ✓ Rough timeline, cost & ROI estimate