FullyOn-PremCustomTrained
LLMsForInstitutions
Runs on your own servers. Your data never leaves the building.
Built by Aether AI
AI studio trusted by global enterprises, governments, and institutions
40+
Trusted By
4
Continents served
100%
Private infrastructure
Your team has leaked company data to a public AI
77% of staff paste work files into public AI
Data sent externally
Your data trains their AI
Stop the bleeding before it's too late.
Every prompt, output, and document stays inside your environment.
Autonomous by design
Zero data leakage.
Prompts, outputs, and documents stay inside your perimeter. No external calls, no third-party retention.
llama-3.1-70b on your-clusterFull institutional ownership.
Your model, your weights, your infrastructure. No vendor lock-in, no shared tenants.
- ComplianceLegal
- TreasuryFinance
- Field opsOps
- ProcurementSupply
Specialised, not generic.
Trained on your domain, policies, and proprietary documents precise where it matters.
Institution-Specific Fine-Tuning
Fine-tuned on your knowledge
- 0External API calls
Every prompt, output, and document stays inside your environment.
- 0 wksFrom kickoff to go-live
Twelve activities, end-to-end requirements through user training.
- 0%Institutional ownership
Your model, your data, your weights. No vendor lock-in.
Secured within your own network
Get instant cited answers from internal sources
Tier-2 vendors must complete the DPIA in §4.3 of the Vendor Risk SOP before production access. Last reviewed 04 Mar 2026.
Ingest your sources index inside your perimeter
Built for institutions, not individuals
Based on Enterprise Sales SOP v2.4, refunds are processed as follows:
- Full refund within 30 days of signing
- 50% refund between 30–90 days
- Custom terms for ACV above $100K
Referenced documents
- • Enterprise Sales SOP v2.4 (page 12)
- • Master Service Agreement Template
- • 2024 Refund Policy Memo Legal
Instant knowledge extraction
Private LLMs deliver instant answers from your internal knowledge meaning fewer meetings, faster decisions, and less context switching for every employee.
Replicable & scalable operational efficiency
Public AI improves individuals. Private AI scales the entire organization with faster onboarding, standardized best practices, and instant information access across teams.
Custom intelligence over generic intelligence
Public LLMs optimize for average users. LoopLM is tuned to your workflows, terminology, and culture trained on your SOPs, regulations, and proprietary knowledge.
Document cross-referencing
Instant document cross-reference: each cited source is one click away, inside the chat.
Source Attached To Every Response
Base defined as "gross invoiced value less returns, freight & taxes" payable within 30 days.
Each document the model referenced or cross-checked appears directly beneath each answer.
Ask AI to explain any sources, take notes, and organize your knowledge base for you.
Describe the platform Bret Victor is suggesting in Magic Ink.
LoopLLMBased on the "Magic Ink" notes in the Dynamic Medium whiteboard, Bret Victor suggests a platform architecture called the View-Translator Information Ecosystem.
- The Platform: An intermediary that manages the flow of information between components.
- Views: The interface users see. Views "nominate" topics of interest.
- Translators: Engineering components with no user interface.
Verify your AI answers
A confident wrong answer looks exactly like a right one. LoopLM makes verification instant, visual, and side-by-side.
Source attached to every response. Each document referenced or cross-checked appears as an interactive pill directly beneath each answer.
Rebate base defined as "gross invoiced value less returns, freight and applicable taxes"
Seamless in-place preview. Documents open as a side-by-side overlay. No download, no tab switching, no hunting through folders.
An evidence trail for reviewers. Approvers, auditors and regulators can see precisely which internal documents an answer was built from.
Inside LoopLM's Air-Gapped Environment
LoopLM reaches system and knowledge source in your organization, and all of it stays inside your perimeter.
All computations, data retrieval, and AI model inferences operate strictly within your isolated network infrastructure with zero outbound telemetry.
Live in 12 weeks end-to-end
Phase 01
Foundation
Requirements
Estimated schedule
Architecture & security
Estimated schedule
Infrastructure setup
Estimated schedule
Access & hardening
Estimated schedule
Frequently asked questions
Reclaim sovereignty over your platform.
Twelve weeks from kickoff to a custom-trained, on-prem deployment running entirely inside your perimeter. Talk to engineering at contact@aether-ai.co.