Professional, trusted AI
Running securely in your private environment

A complete on-device AI infrastructure lineup for professionals, service firms, and enterprises. Models, private knowledge, professional Skills, and workflows operate together within trusted boundaries; sensitive materials stay local, and every AI-assisted result is reviewable and traceable.

From organization-wide intelligence
to personal AI

From shared organizational infrastructure to portable professional information access, choose a secure environment for your scale, workload, and data boundaries. Each product has its own page with design philosophy, users, scenarios, value, and full specifications.

LoLR STATION rack configuration
Shared organizational AI infrastructure

LoLR STATION

Turn models, knowledge bases, and agents into governable shared services for departments and institutions. Permissions, logs, auditing, and monitoring are built per project, with multi-card and multi-node expansion as needed.

Architecture configured as neededOrganization-wide solution · Project-based delivery
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LoLR STUDIO
On-device AI workstation for heavy professional workloads

LoLR STUDIO

For law, tax, accounting, finance, auditing, valuation and research: batch-parse large document collections, retrieve knowledge, run multiple models and draft professional reports.

Standard editionLarge Unified Memory
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LoLR BOX
Professional on-device AI for individuals and small teams

LoLR BOX

Moore Threads E300 and Houmo M50 form heterogeneous dual engines, bringing local models, private knowledge bases, and professional Skills into a compact desktop device.

201 × 128 × 95 mmCore product
View LoLR BOX →
LoLR mini
Personal local AI hub

LoLR mini

For single users and light workloads, a compact device hosts local models and personal knowledge bases, and connects with LoLR ticTALK series andLoLR.AI APP.

Up to 100 TOPS · INT8Coming soon
View LoLR mini →
LoLR ticTALK
Professional recording and result generation

LoLR ticTALK

For meetings, interviews, and field visits; connect to LoLR local computing devices and the App to create transcripts, minutes, key points, risk alerts, and tasks in a private environment.

92 × 60 × 4.7 mmAvailable now
View LoLR ticTALK →

Sensitive materials stay local
Professional expertise grows in your private space

With local deployment, recording, document parsing, knowledge retrieval, model inference, and result generation can all run on user devices or institutional networks, reducing the need to upload sensitive raw data to the public internet. When cloud models or external services are enabled, actual data boundaries depend on user choices, task routing, and deployment settings.

01

Authorized capture

Through the LoLR ticTALK series and LoLR.AI APP, record conversations with users' informed consent and collect photos, files, and web materials.

02

On-device understanding

Transcribe, parse, retrieve, and analyze on the selected device, reducing the need to upload sensitive raw materials to the public internet.

03

Private knowledge accumulation

Store original evidence, project context, and reviewed results in personal or team knowledge spaces with permission-based management.

04

Professional action

Create draft results through tax, accounting, legal, financial, and research Skills, preserving human review and traceability boundaries.

Local models

Core inference and professional processing can run on local devices.

Private knowledge

Materials, conversations, and results remain in your own space.

Professional agents

Work in depth across tax, accounting, finance, law, and research.

Reviewable & Traceable

Retain evidence from source materials to assisted results, with defined human review boundaries.

Responsibility boundaries| AI outputs support judgment. Professional results in law, tax, accounting, finance, and research must be reviewed by professionals, with evidence and processing records retained.

For your scale and workload
Choose your LoLR

ProductCore roleBest forTypical tasksDeploymentStatus
LoLR STATIONShared organizational AI infrastructureDepartments / InstitutionsShared services, concurrency, permissions, and auditsProject-based solutionSolution consultation
LoLR STUDIOOn-device AI workstation for heavy professional workloadsExpert teams / WorkgroupsBatch materials, multiple models, and complex tasksStandard editionTwo editions
LoLR BOXProfessional on-device AI for individuals and small teamsIndividual experts / Small teamsProfessional knowledge bases and stable daily workflowsDesktop deviceCore product
LoLR miniPersonal local AI hubSingle userDaily transcription, retrieval, summaries, and draftsCompact, always availableComing soon
LoLR ticTALKProfessional recording and result generationProfessionalsMeetings, interviews → Reviewable draftsPortableAvailable now
Scenario A

Heavy batch tasks & Shared access

Make AI a team or organizational capability: choose STUDIO for heavy local workgroup tasks, or STATION for cross-department sharing, concurrency, and governance.

Scenario B

Personal materials & Routine tasks

Build your private AI space: choose mini for a compact, always-on setup, or BOX for fuller professional knowledge bases and steady workflows.

Scenario C

Meetings, interviews & Field visits

Record real-world activity and create reviewable results. Choose ticTALK for professional recording of meetings, interviews, and visits, then connect local computing devices for private transcription and organization.

Selection notes| TOPS does not directly equal actual speed: models, precision, context, memory and software optimization jointly determine performance. Shared memory is not dedicated GPU memory. STATION is a project-based solution, not a fixed-specification device.
About this page| This page shows current product definitions; features, configurations, and appearance are subject to official release. Compute and battery figures are theoretical peaks or laboratory results; actual performance depends on the models and environment. AI produces assisted results and drafts for final professional review.

Devices provide compute; systems build capability

LoLR.AI APP handles material capture, device connections, and everyday interaction;LoLR.AI OS handles model invocation, knowledge, and memory management;LoLR.AI Harness loads Skills and coordinates agents. Across the lineup, devices provide local environments for individuals and organizations of different sizes.

Explore the LoLR Butterfly architecture Get a scenario-specific solution Service & Support