An AI-native
infrastructure
company.
Building a cloud for AI agents in production. Production inference and agents, enterprise post-training, and model access and routing.
Where AI demand becomes infrastructure.
Platform and services are in development.
INTERTIE.ai · BUYER BRIEF · OCTOBER 2026Three ways to work with INTERTIE.ai
Production inference and agents
Run models and tools within customer authorization. Manage execution isolation, state, recovery and observability. Evaluate quality, latency and cost for the complete task.
Enterprise post-training
Improve task performance with authorized models and data. Establish a baseline and held-out evaluations, then deploy validated versions with rollback available.
Model access and routing
Manage model and provider choices, usage records and billing through a common interface. Deploy open models under their licences and access closed models through authorized APIs.
Services are in development. Scope and acceptance are agreed for each project.
INTERTIE.ai · BUYER BRIEF · OCTOBER 2026An authorized workflow in production
Inference
Model deployment and APIs, scheduling and quality evaluation support the customer task.
Execution
Isolated tools, state, orchestration and recovery keep an authorized workflow running.
Compute
GPU capacity and networking follow the workload. Company-owned and third-party supply are assessed separately.
Services are in development. Scope and acceptance are agreed for each project.
INTERTIE.ai · BUYER BRIEF · OCTOBER 2026Post-training and model choice
Task baseline
Identify the task and compare model choice, prompts and routing before committing training resources.
Authorized inputs
Use models, data and environments with appropriate rights. Keep customer data within its agreed scope.
Evaluation and release
Use held-out evaluation. Record the improvement and full cost, then release a version with rollback.
Services are in development. Scope and acceptance are agreed for each project.
INTERTIE.ai · BUYER BRIEF · OCTOBER 2026Access with clear rights and usage
A common interface
Choose models and providers around the workload. Maintain usage records and billing visibility.
Open and closed models
Deploy open models under their licences. Access closed models through authorized provider APIs.
Evidence of support
Confirm the supported model matrix, contract terms and billing responsibility for each customer.
Services are in development. Scope and acceptance are agreed for each project.
INTERTIE.ai · BUYER BRIEF · OCTOBER 2026A measurable service agreement
Customer outcome
Measure task acceptance, reliability and quality against the customer’s baseline.
Full service cost
Include third-party APIs, compute, engineering support and operating effort.
Capacity decision
Use measured demand to select supply and GPU capacity. Separate new usage from migrated traffic.
Services are in development. Scope and acceptance are agreed for each project.
INTERTIE.ai · BUYER BRIEF · OCTOBER 2026Your workload and acceptance criteria
Required service
Choose production operations, post-training or model access. Describe the task and authorized users.
Workload and rights
Share models, tools, data rights, region and targets for quality, latency, reliability and cost.
Validation plan
Agree the test workload, baseline and acceptance criteria before committing capacity or dates.
partner@intertie.ai · intertie.ai/start