Meet Your AI
Engineering Agent

An autonomous agent built as a modular, event-driven pipeline. It reads tickets, investigates across your stack, implements code changes and ships pull requests — with 17+ sections of structured evidence for every decision.

Six-Layer Architecture

Modular, event-driven, with clear separation of concerns — each layer can be swapped per client environment.

1

Trigger

Ticket events, labels, @mentions, scheduled scans.

2

Orchestrate

Pre-screening, routing, data fetching across all sources.

3

Reason

Agentic loop with confidence scoring and tool dispatch.

4

Tools

Logs, traces, vision, similar-tickets, code, reports.

5

Models

Managed cloud inference in your EU region or fully on-prem local models — your choice.

6

Deliver

Pull request, Jira comment, structured report, Word / PDF.

The Reasoning Engine

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Agentic Reasoning Loop

Multi-turn tool-calling, iterative hypothesis testing, evidence accumulation, confidence scoring. 5–30 tool calls per ticket.

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Context Builder

Prompt engineering, evidence aggregation, priority weighting and token-efficient packing — so big codebases still fit.

🕸️

Tool Dispatcher

Orchestrates tool execution — parallel and sequential calls, result validation, automatic fallback strategies.

Reasoning Loop → Context Builder → Tool Dispatcher → Execute → Evaluate → Loop or Report

Specialist Tools for Every Investigation

Extensible — custom tools are added per client environment (proprietary log & trace formats, internal APIs, private repos).

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Log Analysis

System logs, traces & observability streams of any format — parsed and correlated.

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Archive Extraction

Attachments, compressed files, binary artifacts — opened and inspected.

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Vision Analysis

Screenshots, UI state, error dialogs — read and interpreted by the agent.

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Similar-Ticket Search

Cross-ticket correlation, pattern detection across your backlog and history.

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Coredump Analysis

Stack-trace parsing and memory-dump inspection, symbol resolution included.

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Report Generation

Structured markdown, Word docs, PDFs, Jira comments — ready for reviewers.

Flexible Model Strategy

☁️ Commercial Models
  • Primary reasoning engine
  • Claude, GPT-X, Gemini — compatible
  • Highest accuracy for complex analysis
  • API-based, pay-per-use
🖥️ Local Models
  • Llama, Mistral, custom fine-tuned
  • Zero data leaving your environment
  • Cost-optimized for high-volume tasks
  • GPU or CPU inference on-prem
EU-Region Managed Cloud
  • Inference fully inside your chosen EU region — complete data residency
  • Tokens, embeddings & intermediate state never leave EU
  • Runs inside your own AWS / Azure / GCP account & quota
  • Equivalent setups available across all major hyperscalers

Intelligent routing. High-volume tasks run on local models. Deep root-cause analysis routes to managed cloud inference inside your own EU region. Fully configurable per client — and fully on-prem when required.

Local, Hybrid, or On-Premise

Your data, your network, your rules. Three topologies supported, fully air-gap friendly.

☁️ Full Local Environment
  • Induktiv AI hosted in your environment
  • Connects to client systems via API
  • Fastest time-to-value
  • Managed updates & monitoring
Setup: 2 weeks
🔀 Hybrid
  • Agent runs in client network
  • AI reasoning via cloud API
  • Data stays in-house
  • Only prompts / responses cross the boundary
Setup: 4–6 weeks
🔒 Full On-Premise
  • Everything inside client network
  • Local AI models
  • Zero external data transfer
  • Air-gapped environments supported
Setup: 6–10 weeks

Enterprise-Grade Security by Design

Designed for regulated industries — automotive, manufacturing, energy, telecom, defence, healthcare.

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Network Isolation

Agent runs inside client VPN. No inbound connections required.

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Data Encryption

TLS 1.3 in transit, AES-256 at rest.

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Access Control

Role-based permissions, SSO / LDAP integration.

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Audit Logging

Full trace of every action, compliance-ready exports.

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Data Minimization

Only necessary context sent to the AI. No persistent storage of client data.

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Local AI Option

Zero-trust mode with on-prem models — nothing leaves the perimeter.

Ready to See It Run?

Watch Induktiv AI resolve a real ticket — from trigger to merged pull request — in under 15 minutes.

Live Demo