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Systems over slides
Strategy only matters when it ships into production with observability, evaluation, and controls, and with IP that stays yours.
Company
InheritX is an AI-native enterprise partner for regulated industries. Production AI programs are built on enterprise delivery DNA from 2011 and hundreds of software engagements that inform how we ship AI, with ownership by design.
2011+
Enterprise delivery DNA informing AI programs
600+
Software engagements informing how we deliver AI
7
Sectors with public industry pages
Owned
IP at handover
Vision
Enterprise AI should behave like infrastructure you own: reliable, governed, measurable, and never rented back to you as a black box.
Read Our AI Vision01
Strategy only matters when it ships into production with observability, evaluation, and controls, and with IP that stays yours.
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Private deployment, model-weight ownership, and zero reuse of your proprietary data or fine-tunes.
03
Agentic systems that execute enterprise workflows, with humans supervising risk, not watching a chatbot demo.
Path
Complex enterprise systems for global organizations, the operating discipline we now apply to AI platforms, agents, and LLMOps.
Became an AI-native practice: AI/ML engineering, agentic systems, computer vision, private AI platforms, and LLMOps.
Board-ready programs that industrialize AI across regulated industries, with evaluation, security, and operability designed in.
Principles
Agent logic, automation, interfaces, and infrastructure-as-code we create for you are transferred at handover under the engagement contract. We retain no rights to operate your systems as a rented platform.
Weights and adapters fine-tuned on your data remain your exclusive IP. InheritX does not reuse them across clients or feed them into public training sets.
Systems deploy into your AWS, Azure, or GCP VPC (or equivalent private estate). Customer data is not used by InheritX to train external public models.
Prompt histories, embeddings, and inference logs for your workloads are treated as customer-controlled. We do not contribute them to public LLM training corpora.
Careers
We hire people who ship production AI, architects, ML/LLM engineers, agentic systems builders, and LLMOps practitioners who treat governance as part of the product.