AI development services

Complete AI solutions, built end to end.

Eveonix designs and builds agentic AI systems, RAG knowledge systems, and AI-first software for startups and enterprise teams working internationally. Every engagement starts from the business problem — not the model — so strategy, UX, and engineering stay pointed at measurable outcomes.

Agent Orchestrator
Running
New lead · Acme Corp

Research agent

Profile + web signals

CRM lookup

3 past touches found

Drafting qualification summary

Grounded in CRM + research

Human approval

Nothing ships without review

Approve
3 steps automated
1 human gate · full audit trail

Agentic AI development

Agentic AI Development

Custom AI agents for multi-step workflows that need speed and control.

  • Multi-step workflow design

    We design flows with branching, approvals, retries, and memory.

  • Tool-using agents

    Agents can call APIs, search systems, and update business tools safely.

  • Human review and guardrails

    Critical steps can pause for review before anything final happens.

Back-office and revenue ops automation

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Voice Agent
Live call
Inbound call · 2:07 AM

Listening and speaking

One streaming connection

Intake record

Fields captured

Transcript

Logged to S3

Human fallback ready

Warm transfer with context

Amazon Connect + Bedrock
Every call answered

Voice AI development

AI Voice Agents

Speech-to-speech voice agents on Amazon Connect for intake, scheduling, and support calls, with tool calling, call logging, and human fallback.

  • Natural phone conversations

    Speech-to-speech models handle interruptions and turn-taking, so callers get a conversation instead of a menu.

  • Actions in your systems

    Validated tool calls create cases, book slots, and look up records in your CRM, scheduling, or case management tools.

  • Human fallback and audit trail

    A designed escalation path, plus full call transcription and logging to S3 for review and compliance.

Amazon Connect, AWS Bedrock, and Nova Sonic

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Knowledge Base
Semantic search
What is the enterprise return policy?

Policy.pdf

94% match

HR Wiki

87% match

Runbook.md

No match

Onboarding

No match

Grounded answer

2 citations
Policy.pdf §4HR Wiki §2
4 sources scanned in 0.4s
Every answer traceable

Retrieval-augmented generation

RAG and Knowledge Systems

Private RAG systems for teams that need trusted answers and cleaner search.

  • Document and data ingestion

    We connect docs, wikis, databases, and APIs into one retrieval layer.

  • Semantic retrieval

    Answers are based on meaning and source relevance, not just keywords.

  • Private and permission-aware

    Access can follow teams, content sources, and permissions.

Internal search, support, and knowledge retrieval

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MVP Builder
Sprint 2 · shipping
acme-ai.app
Live
AI Chat
Analytics
Workflow
Deployed to production
Design
Build
Launch
Idea → launch in weeks

AI-first product development

AI Product Development

AI product design and development for teams that need to validate quickly.

  • AI-native product strategy

    We make AI part of the product's core value, not an add-on.

  • Full-stack product execution

    We build the UX, frontend, backend, and AI layer needed to launch.

  • Fast iteration loops

    Short cycles help refine the product and validate fast.

Founder-led MVPs and new product bets

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Ready when you are

Not sure which service fits?

Share the workflow, product idea, or knowledge problem you're solving. We'll help define the smartest first build — and tell you honestly if AI is not it.