Naventic AI

Deployment Journey

From first conversation to full production — every step, every choice, and every piece of infrastructure explained.

How It Works

From conversation to deployment
in six steps

We handle everything — discovery, design, building, testing, and going live.
You stay in control at every stage.

01

Discovery & Audit

Understand your business challenges, assess current systems, data readiness, and AI maturity. Identify high-impact opportunities.

02

Solution Design & Scoping

Define the AI solution architecture, deliverables, timeline, success metrics, and investment required.

03

Build & Development

Engineer the AI solution — data pipelines, model training, integrations, and user interfaces. Iterative development with regular updates.

04

Internal QA & Testing

Rigorous internal testing — accuracy validation, stress testing, edge cases, security review, and performance benchmarking.

05

Client UAT & Iteration

You test the solution in your environment. We gather feedback, refine, and iterate until it meets your standards.

06

Deployment & Support

Go live with full handover — documentation, team training, monitoring setup, and ongoing support plan.

Quantify the business value of deploying Agentic AI across sales, support, marketing, and operations. Adjust the inputs to match your business — results update in real time.

⚠ This calculator provides indicative estimates only. Actual ROI will vary based on assumptions, implementation, and operational factors.

Deployment

Deploy your way

Choose the deployment model that fits your infrastructure, compliance requirements, and risk appetite.

Cloud infrastructure
☁️

Cloud Hosted

Naventic AI manages your entire infrastructure. Fast to deploy, zero DevOps overhead, automatic updates and scaling included. Ideal for teams moving quickly.

Managed by Naventic AI
On-premise server room
🖥️

On-Premise

Deploy agents entirely within your own environment. Maximum data sovereignty, regulatory compliance, and control — no data leaves your network perimeter.

Your Infrastructure
Hybrid network architecture
🔀

Hybrid

Combine cloud agility with on-premise security. Sensitive data stays local while non-sensitive workloads leverage cloud elasticity. Best of both worlds.

Flexible Architecture
Air-gapped isolated server room
🛡️

Air-Gapped

Run agents in a fully isolated environment with zero external network connectivity. Built for defense, government, and classified workloads where absolute data isolation is non-negotiable.

Maximum Isolation
BYOK

Bring Your Own Key

Connect the AI model you trust — at your negotiated rate.

Naventic AI is model-agnostic. Use your own API keys from any provider, keep your existing contracts, and only pay for what you consume. Full BYOK support across all major LLM providers.

⚠️ Model lists may not reflect the latest releases — new models launch almost daily. Check each provider's website for up-to-date information.

Anthropic
Anthropic
6 models
Hover to view
Anthropic
Claude Haiku 4.5Budget
Fastest near-frontier model — high-volume, latency-sensitive tasks and lightweight automation
Claude Sonnet 4.6Mid
Best speed/intelligence balance for production workloads and agent orchestration
Claude Sonnet 5Mid
Latest Sonnet (GA Jun 2026) — most agentic Sonnet yet, near Opus-4.8 performance at lower cost; adaptive thinking on by default
Claude Opus 4.7Premium
Advanced agentic coding, high-res vision (up to 3.75MP), best-in-class reasoning
Claude Opus 4.8Premium
State-of-the-art intelligence, extended thinking, top agentic performance
Claude Fable 5Premium
Latest Anthropic flagship (GA June 2026) — most capable widely released model, replaces Opus as top tier
OpenAI
OpenAI
6 models
Hover to view
OpenAI
GPT-5.4 nanoBudget
Ultra-low cost, fastest response — simple high-volume tasks and lightweight pipelines
GPT-5.4 miniBudget
Strongest mini-class model — coding, computer use and subagents at lowest cost
GPT-5.5Mid
Flagship for complex reasoning & coding — 1M token context, built-in computer use
GPT-5.5 ProPremium
Higher-accuracy variant for the hardest reasoning, science and coding problems
GPT-5.6 TerraMid
Balanced next-generation model for everyday agentic work (preview)
GPT-5.6 SolPremium
Newest flagship — next-generation reasoning and autonomous multi-step tasks (preview)
Google
Google
5 models
Hover to view
Google
Gemini 2.5 Flash-LiteBudget
Fastest, most cost-efficient multimodal — high-volume real-time pipelines
Gemini 3.1 Flash-LiteBudget
Frontier-class performance with strong cost efficiency, speed-optimised tasks
Gemini 3.5 FlashMid
GA May 2026 — near-Pro intelligence at Flash speed & cost, 1M context, built for agentic and coding work
Gemini 3.1 ProPremium
Advanced reasoning — 1M token context, adaptive thinking, entire-codebase and long-video analysis
Gemini 3.5 ProPremium
New premium reasoning flagship — top performance on complex agentic and multimodal tasks
Meta
Meta
3 models
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Meta
Llama 4 ScoutMid
10M token context, multimodal, open-source — runs on a single GPU, on-premise deployment
Llama 4 MaverickMid
Multimodal MoE architecture, open-source, strong general-purpose performance
Muse SparkPremium
Meta Superintelligence Labs' first proprietary flagship — closed-weight, next-generation reasoning
DeepSeek
DeepSeek
2 models
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DeepSeek
DeepSeek V4-FlashBudget
284B MoE (13B active), 1M context — fast, cost-efficient general tasks, MIT open weights
DeepSeek V4-ProPremium
1.6T MoE (49B active), 1M context — V4-Pro-Max reasoning mode rivals closed frontier models at low cost
Alibaba
Alibaba
3 models
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Alibaba
Qwen 3.5 FlashBudget
Fast and cost-efficient — high-volume simple tasks, low-latency pipelines
Qwen 3.7 PlusMid
Low-cost multimodal (vision + video) agent model — balanced performance for enterprise workflows
Qwen 3.7 MaxPremium
Latest Alibaba flagship — 1M context, extended thinking, top agentic coding performance
Zhipu AI
Zhipu AI
2 models
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Zhipu AI
GLM-5Mid
Complex system engineering and deep reasoning — 744B MoE, agentic intelligence, 200K context
GLM-5.2Premium
Latest flagship (Jun 2026) — ~750B MoE (40B active), 1M context, most capable open-weight model, MIT license
Mistral AI
Mistral AI
2 models
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Mistral AI
Mistral Medium 3.5Mid
Frontier multimodal for agentic and coding tasks — GDPR-compliant, European data residency
Mistral Large 3Premium
Open-weight general-purpose flagship — 675B MoE, multilingual, strong reasoning
Moonshot AI
Moonshot AI
3 models
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Moonshot AI
Kimi K2.5Mid
Multi-agent coordination — directs up to 100 sub-agents, image understanding
Kimi K2.6Premium
1T MoE (32B active), Agent Swarm up to 300 sub-agents & 4,000 steps, native video, MIT
Kimi K2.7Premium
Latest release (Jun 2026) — agentic-coding focus, ~30% fewer reasoning tokens than K2.6, 1T MoE (32B active), 256K context, MIT
xAI
xAI
2 models
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xAI
Grok 4.1Mid
Available to all in Auto mode — real-time web data, strong general performance, X integration
Grok 4.3Premium
Current flagship (Apr 2026) — native video input, document generation, 1M token context, real-time X data
Cohere
Cohere
2 models
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Cohere
Command AMid
Tool use, agents, RAG and multilingual — 256K context, strong enterprise document tasks
Command A+Premium
Latest flagship (May 2026) — 218B sparse MoE (25B active), Apache 2.0, 48 languages, native citations, on-prem agentic
Agent Harness

The infrastructure that makes
AI agents production-grade

Most AI agent deployments fail in production — not because the model is wrong, but because there's no structure around it. Agent Harness solves the infrastructure problem, not the intelligence problem. The LLM handles the thinking. The harness handles the accountability.

🎯
Perceive
Intake goal, memory & tools
›
🧠
Reason
LLM plans next action
›
⚡
Act
Tool calls & sub-agents
›
👁️
Observe
Results update memory
›
✅
Resolve
Deliver output or loop
⚙️ Agent Harness Builder

Assemble your harness.
No infrastructure code.

Deploying a governed agent shouldn't require an engineering team. The Agent Harness Builder is a configuration interface that lets you define your agent's complete operating environment.

🔧Which tools the agent has access to
🗂️What the agent is allowed to remember
🛡️The guardrails and escalation rules
📡The input and output channels
▶
Generate Harness
Runtime instantiated — governed, sandboxed, production-ready
💡 Why It Matters

Structure is what separates
a demo from production.

The agent hallucinates tool calls. It remembers the wrong things. It takes actions no one approved. It can't be audited. Agent Harness solves this.

For Businesses
AI agents you can trust in customer-facing roles — full audit trails, defined boundaries, human override at every level.
For Compliance Teams
Every action is logged. Every escalation is recorded. The agent operates within a declared policy envelope, not an open sandbox.
For IT & Security
The harness is the security boundary. Tools are scoped. Channels are controlled. No agent goes rogue because rogue isn't in the config.
Naventic AI
Powered by Naventic AI

Agent Harness is the foundation underneath every autonomous agent Naventic AI builds and deploys. Whether it's a sales agent on WhatsApp, an ops agent triaging support tickets, or a voice agent handling inbound calls — the harness is what makes it production-grade.

Request a Build →
⚡ Integrations

Integrate with your
favourite tools

250+ top apps available to integrate seamlessly with your AI agents and workflows.

WhatsApp Slack Teams Notion Salesforce Zapier Google Workspace Airtable Trello WhatsApp Slack Teams Notion Salesforce Zapier Google Workspace Airtable Trello WhatsApp Slack Teams Notion Salesforce Zapier Google Workspace Airtable Trello
Discord HubSpot Stripe OpenAI Jira Xero Zendesk MongoDB Telegram Discord HubSpot Stripe OpenAI Jira Xero Zendesk MongoDB Telegram Discord HubSpot Stripe OpenAI Jira Xero Zendesk MongoDB Telegram

💬 Messaging & CRM

WhatsAppTelegram DiscordSalesforce HubSpotSlack TeamsIntercom Evolution APIElevenLabs Groq

⚙️ Productivity & Operations

Google WorkspaceMicrosoft 365 NotionJira AsanaMonday.com ZapierMake AirtableClickUp TrelloConfluence

💰 Finance, Accounting & ERP

XeroQuickBooks SAPOracle NetSuite SageStripe MYOB

🎧 Customer Support & Helpdesk

ZendeskFreshdesk ServiceNowHelpscout Zoho DeskTidio

📊 Data, Analytics & Databases

PostgresMySQL MongoDBBigQuery SnowflakeTableau Power BILooker Databricks

🤖 AI Model Providers / BYOK

OpenAIAnthropic Google GeminiDeepSeek xAI GrokMistral Llama (Meta)Cohere Azure OpenAI
Security & Governance

Enterprise-Grade Security,
Built Into Every Deployment

Every Naventic AI agent is architected with security-first principles — so your data, your customers, and your operations are protected at every layer.

Sandbox Isolation

Sandbox Isolation

Each agent operates in its own isolated environment — zero cross-contamination between deployments.

Human-in-the-Loop

Human-in-the-Loop

Critical decisions route to your team for review. AI acts — humans stay in control of outcomes that matter.

Guardrails and Governance

Guardrails & Governance

Configurable rules, tone controls, and escalation thresholds built into every agent deployment.

API Encryption

API Encryption

All API calls are encrypted in transit using TLS 1.3. Keys are rotated automatically — your integrations stay secure end-to-end.

While Naventic AI provides sandbox isolation, encryption, and guardrails, effective governance requires your team to act too.