01
AI-native, not IT-generic
We specialize in AI/ML engineering, agentic systems, and AI DevOps, not websites, staff-aug theater, or generic software projects dressed up as AI.
AI-native enterprise partner
EnterpriseAI.Built toScale.
We build intelligent AI applications, automation systems, and custom software that turn complex business challenges into scalable digital solutions.
Why InheritX
We don't sell software projects.We engineer AI solutions you own.
From architecture to production, we build secure AI solutions your team can operate, control, and scale.
02
You own the capability
Code, agent logic, fine-tunes, adapters, and infrastructure-as-code transfer at handover. We do not rent you someone else's black-box platform.
03
Private cloud by default
Deploy into your AWS, Azure, or GCP VPC. Your data stays inside your boundary and is never used by InheritX to train public models.
04
Architects who ship production
Named AI architects and engineers accountable from blueprint to handover, systems your CTO can operate, not slideware your board forgets.
Case Studies
8 cases · swipe to explore
AI in Production, Not Just Promises.
Real AI solutions with measurable business outcomes.
01 / 08·Case Study
AI Agents
6×
Faster exception review cycles
Agent Bank
Agent Bank is an enterprise multi-agent platform that executes high-volume banking workflows—with policy controls, audit trails, and human approval gates for anything that moves money or risk.
- 24/7 · Logged coverage on routine ops
- Ledger · Tool actions attributable in audit logs
02 / 08·Case Study
AI Safety
100%
Enterprise policy enforcement
GuardRails AI
An enterprise cloud trust and safety platform for real-time AI safeguards, hallucination detection, and sensitive data protection across multi-LLM workflows.
- Real-Time · Hallucination & threat monitoring
- Multi-LLM · Model & provider support
03 / 08·Case Study
AI Platforms
10×
Faster spec-to-code iteration
Kavia AI
An enterprise AI software engineering platform that unifies requirements, system modeling, code generation, change impact analysis, testing, and PR review in a single governed workflow.
- 100% · Codebase & dependency visibility
- 4,500+ · Active builders & developers
04 / 08·Case Study
Computer Vision
70%
Faster exception & audit cycles
T2D2
An enterprise cloud inspection platform that processes structural imagery, detects facade damage, maps defects spatially, and tracks deterioration across historical timelines.
- 80+ · Damage types classified
- 3.5TB+ · Forensic image dataset
05 / 08·Case Study
AI Automation
40+
Aussie retailers aggregated
Petshack.au
An independent Australian price comparison engine aggregating real-time catalog data from 40+ pet retailers—free access with no hidden fees or signup friction.
- 100% · Free platform access
- 1,000s · Pet products compared
06 / 08·Case Study
Machine Learning
250%
ROI across brownfield ops
Nexaan APM
An 11-module governed APM platform that standardizes maintenance strategy engineering, generates CMMS load sheets, and improves strategy using ML on field failure history.
- 500% · ROI on operational readiness
- 70% · Reduction in strategy time
07 / 08·Case Study
Machine Learning
Real-Time
Bluetooth sync & telemetry
Owl Ring
A Flutter mobile companion for the Owl Smart Ring—delivering low-power BLE sync, sleep architecture scoring, and daily readiness insights from biometric telemetry.
- 24/7 · Biometric & heart rate monitoring
- Precision · Sleep phase architecture analysis
08 / 08·Case Study
Machine Learning
100%
Curated K-Beauty lineup
Koradream
An interactive Korean beauty platform with guided skincare matching, high-speed catalog and cart flows, and scalable inventory-backed retail across web and mobile.
- Real-Time · Catalog & inventory sync
- Personalized · Product recommendation engine
Built for enterprise AI buyers
Brainstormtolaunchyourproject.
Explore solutions tailored to your role, priorities, and business goals.
Recommendation
For business leaders
Turn Ambition Into Action.
Identify the right AI opportunities, quantify potential impact, and define a practical path to production.
AI capabilities
Capabilitylanesfrommandatetoproduction.
Six capability lanes, each engineered for governed production delivery.
01
AI/ML Engineering
Machine learning, predictive models, NLP, computer vision
02
Generative AI
LLM applications, RAG, copilots, fine-tuning, knowledge systems
03
AI Agents
Autonomous agents, multi-agent systems, tool use, agent orchestration
04
AI Automation
Intelligent workflows, process automation, AI + business-system integrations
05
AI Applications
Custom AI-powered web/mobile applications and business platforms
06
AI DevOps & LLMOps
MLOps, LLMOps, deployment, monitoring, evaluation, observability
Technology & AI expertise
Built on the technologies powering modern AI.
Our AI engineering expertise spans the technologies needed to build, integrate, deploy, and scale production-ready AI solutions.
Next step
Ready to pressure-test an AI mandate?
Start with a mandate review with an architect, or review production case studies first.
Industries
The context changes.Intelligence adapts.
01
Healthcare
Published cases
Clinical operations, documentation, and compliance-grade AI that reduces cost without increasing risk.
02
Finance
Fraud, underwriting, and decisioning agents with audit trails built for institutional scale.
03
Logistics
Network optimization, control towers, and exception agents that cut manual operations.
04
Retail
Demand sensing, merchandising intelligence, and service automation that compress operating cost.
05
Manufacturing
Vision inspection and plant-intelligence architecture for quality and uptime, capability we apply when the mandate fits.
06
Insurance
Policy-aware claims and underwriting architecture, capability we apply when the mandate fits.
07
Government
Sovereign deployment patterns for mission systems, engaged when accreditation requirements are defined.
InheritX helped us move from AI pilots to a governed production system our security team could defend, without locking us into a black-box platform.
Chief Technology Officer, Financial services · anonymized
Testimonial 1 of 6The engagement was architect-led end-to-end. We got clarity on RAG, evaluation, and private-cloud deployment, then a path our board could fund.
Head of AI, Healthcare · anonymized
Testimonial 2 of 6What mattered most was ownership. Code, fine-tunes, and runbooks transferred cleanly, so we could operate the capability ourselves after handover.
VP of Engineering, Logistics · anonymized
Testimonial 3 of 6Their agentic workflows cut the noise in our exception queues. Humans stay on risk; agents handle the routine assembly with a full audit trail.
Chief Information Officer, Insurance · anonymized
Testimonial 4 of 6We needed LLMOps discipline, not another demo. Observability, evaluation gates, and VPC deployment were treated as product requirements from day one.
Director of Platform Engineering, Manufacturing · anonymized
Testimonial 5 of 6Computer Vision quality gates finally stuck in production. The difference was the operating model, HITL, secure pipelines, and clear ownership at handover.
VP of Digital Transformation, Retail · anonymized
Testimonial 6 of 6
Enterprise voices
WhatproductionAIbuyerstellus.
What production AI buyers tell us.
Anonymized enterprise voices until named references are approved in writing. Named proof lives in case studies and NDA diligence.
Start your AI transformation
Let'sidentifywhereAIcancreaterealbusinessvalue.
Define the right path from idea to production.