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Press / SimpleDirect®

SimpleDirect®, on the record.

Company facts, approved assets, and release records.

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Press contact

[email protected]
SimpleDirect current company identity
SimpleDirect current company identity1120 × 240 · SVG
Vinci current identity lockup
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SimpleDirect at a glance

The company, its purpose and its legal identity.

SimpleDirect®
Independent Canadian AI company operated by Alpine Pacific Trading Inc.
Founded
2019
Current headquarters
Toronto, Ontario, Canada
Current focus
Vinci products, agents, models, and research designed to give people greater freedom, clarity, and control.
Vinci
SimpleDirect’s unified product and technology ecosystem.
Founder
George Pu, Founder & CEO

Company description

SimpleDirect® is an independent Canadian AI company operated by Alpine Pacific Trading Inc. in Toronto, Ontario, Canada. We build Vinci: AI products, agents, and models for a life beyond the screen. Founded in 2019, the company ended its earlier financial-technology business in 2025 and began its current AI work in June 2026.

Public model releases should be described according to their individual model cards. Model size, licence, evaluation coverage, and limitations differ by release.

Vero is Vinci’s character and human-facing explanatory layer. Vero does not certify or evaluate results.

Media assets

For accurate editorial identification of SimpleDirect and Vinci. Keep marks unmodified and follow the brand rules. Model-family artwork is illustration, not a product screenshot or evaluation result. The Code image is an existing product capture; it is not a claim about the latest release.

SimpleDirect current company identity
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Vinci current identity lockup
Download Vinci current identity lockup (SVG)

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Vinci current identity lockup
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SimpleDirect round mark
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SimpleDirect round mark
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Vinci wordmark
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Vero character artwork
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Vinci MLE conceptual workbench illustration
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Vinci MLE social preview illustration
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Vinci Cyber conceptual review illustration
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Vinci Cyber social preview illustration
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Vinci Code CLI authentication screenshot
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An approved downloadable press portrait is not identified in the asset library. Contact us for portrait requests.

Complete brand rules and downloads

Release records

Choose a release. Open its source record for availability, licences, evaluations and dates.

Artifact release, reporter publication and factual update dates are recorded separately.

Source documents and model cards are in English.

Vinci MLE 1.0

Open-weight research models for ML-engineering workflows. Availability and licences follow the individual model records below.

Artifact released

The 1.0 release has no valid held-out MLE-task evaluation or complete ML-engineering harness.

Availability, evidence and dates
Artifact released
Reporter document published
Last factual update
Availability and licensing
Model / artifactLicenceModel card / evidence
Vinci MLE 8B 1.0Public weightsApache-2.0Model card
Vinci MLE 30B 1.0Public weightsApache-2.0Model card
Vinci MLE 123B 1.0Public weightsMistral Modified MITModel card

Evaluation status

A valid held-out MLE-task evaluation was not completed for 1.0. These releases do not establish proven autonomous ML engineering.

Released weights do not include a complete ML-engineering harness.

NewsroomTechnical reportsMedia assetsPress contact

Vinci Cyber 1.0

Defensive cybersecurity specialist models, fine-tuned from open foundation models. Each size has its own licence and evidence.

Artifact released

In the small internal 123B panel, restraint improved; the repair count did not. These findings apply to 123B only and do not establish secure deployment.

Availability, evidence and dates
Artifact released
Reporter document published
Last factual update
Availability and licensing
Model / artifactLicenceModel card / evidence
Vinci Cyber 8B 1.0Public weightsApache-2.0Model card
Vinci Cyber 30B 1.0Public weightsApache-2.0Model card
Vinci Cyber 123B 1.0Public weightsModified MIT (Mistral AI)Model card

Evaluation status

Evaluation evidence differs by size. Consult each individual model card; the linked 123B aggregate evaluation applies to 123B only, and is not evidence for 8B or 30B.

Do not generalize findings between model sizes or treat local software guards as independent security certification.

What the Vinci Cyber 123B 1.0 evaluation measured

The internal panel contained 24 pairs of flawed and already-correct infrastructure configurations, compared with the parent model mistralai/Devstral-2-123B-Instruct-2512.

The model left 24/24 already-correct inputs unchanged, versus 0/24 for the parent. Targeted scanner findings were cleared without new detected findings in 16/24 flawed inputs, versus 17/24 for the parent: improved restraint did not improve the repair count.

These are BF16-parent-plus-adapter measurements on a small AI-generated panel, without an independent case audit or a run-to-run variance estimate. They do not establish secure or deployable repairs, merged-weight or GGUF results, or results for 8B and 30B.

Inspect the pinned 123B evaluation record
NewsroomTechnical reportsMedia assetsPress contact

Supporting technical links

Vinci Code CLI

Open-source terminal coding agent. Source availability, the published GitHub artifact and installer version are separate records.

Artifact released

Built on Pi. Source, GitHub artifacts and the installer channel are separate records; publication does not establish correctness.

Availability, evidence and dates
Artifact released
Reporter document published
Last factual update

Source licence: MIT.

Published GitHub artifact: 0.0.57. This is separate from the installer channel.

Derived from Pi, by Mario Zechner; preserve upstream attribution.

Evaluation status

A published software artifact is not an independent evaluation or a guarantee of correctness. Review the repository documentation and limitations.

The existing screenshot shows an authentication interface, not a benchmark result.

NewsroomSource repositoryTechnical reportsMedia assetsPress contact

Supporting technical links

Definitive model catalogue

Public research

Methods, findings and corrections from the published record.

The numbered Vinci technical reports preserve methods, evaluations, corrections and negative findings alongside current work.

Source documents and model cards are in English.

· Vinci Technical Report No. 3

Runtime Pass Is Not Correctness

Version 1.0 · Released technical report · not peer reviewed

The reasoning-efficiency post-training recipe missed its targets. An evaluator audit found that the original test bank could not support its correctness claims.

A negative result for the recipe and evaluation setup studied in this report; it does not establish that all reasoning-efficiency approaches fail. This technical report is publicly released and has not been peer reviewed.

Read the manuscript (PDF)DOI: 10.5281/zenodo.22241477
Technical reports

Leadership

Company and technical leadership.

  • George Pu

    Founder & CEO

  • Vikas Grover

    COO & CFO

  • Ayush Naik

    Technical Lead

Full leadership information

Company history

From financial technology in Waterloo to AI in Toronto.

  1. 2019 — Waterloo

    SimpleDirect founded as a financial technology company.

  2. 2025

    The fintech business was sunset.

  3. June 2026 — Toronto

    SimpleDirect became an AI lab and began publishing its current AI work under Vinci.

Press contact

For interviews, technical questions, release information, or media assets.

[email protected]