Vericode Tecnologia LTDA
VC Fund
São Paulo, Brazil
Vericode Tecnologia LTDA is a VC fund in São Paulo focused on Finance and Compliance. Software Engineering Consulting Company
- Total investments:
- 3
- Last investment:
- Lead investor:
- 100%
Last updated:
For AI agents: llms.txt
Industries Vericode Tecnologia LTDA invests in
FinanceComplianceData GovernanceArtificial Intelligence
Stages Vericode Tecnologia LTDA invests in
SeedPre-Seed
Countries Vericode Tecnologia LTDA invests in
Brazil
Round sizes
Seed $342k–$415k
Round size
- Seed
- $342k–$415k
Investment Focus
Industry
- Finance 1 (33%)
- Compliance 1 (33%)
- Data Governance 1 (33%)
- Artificial Intelligence 1 (33%)
Stage
- Seed 1 (33%)
- Pre-Seed 1 (33%)
Investments
| Company | Description | Round | Links |
|---|---|---|---|
dott.ai: AI-Native Compliance Certification Platform
|
dott.ai was initially built as a software testing platform, but it pivoted to developing artificial intelligence–based workflow tools for business operations. The turning point came when the company launched an AI-native interoperability certification platform for regulated financial market infrastructures, replacing manual, episodicregulatoryinteroperability certification with a continuous, automated, and explainable certification pipeline built entirely on cloud infrastructure. Financial market infrastructures — including stock exchanges, clearinghouses, receivables hubs, and API-driven fintechs — must certify their participants and systems against a growing body of regulations before they can operate. The traditional model relies on consultants, scheduled audit windows, and manual evidence collection, resulting in compliance reports that become outdated the moment they are signed.dott.ai eliminates that model. Gemini reads raw regulatory text and automatically generates test scenarios. GKE executes those scenarios continuously against live systems. The platform stores every payload and log as immutable, auditable evidence. An Explainable AI layer provides transparent reasoning for every certification outcome, enabling regulators to understand not only that a system passed, but why it passed.The platform is already live in production at A5X (Brazil’s new stock exchange), where it certifies broker-dealer participants across FIX, MIT, Native, and SBE protocols, and at CERC (Brazil’s national receivables hub), where it automates participant onboarding homologation through a transparent inteligent DottProxy layer and companion assistent.Business model: every new regulation onboarded by a client increases Annual Recurring Revenue and cloud consumption in parallel. Regulatory complexity — the challenge every financial institution dreads — becomes the mechanism that drives the platform’s growth.Recognition: ISG Paragon TGT Prize — Innovation category (B3 case, 2024). Winner of the Torq Challenge 2024 — AI-driven DevOps automation. | $414.7K / Seed / Mar 05, 2025 | |
|
dott.ai: AI-Native Compliance Certification Platform
|
dott.ai was initially built as a software testing platform, but it pivoted to developing artificial intelligence–based workflow tools for business operations. The turning point came when the company launched an AI-native interoperability certification platform for regulated financial market infrastructures, replacing manual, episodicregulatoryinteroperability certification with a continuous, automated, and explainable certification pipeline built entirely on cloud infrastructure. Financial market infrastructures — including stock exchanges, clearinghouses, receivables hubs, and API-driven fintechs — must certify their participants and systems against a growing body of regulations before they can operate. The traditional model relies on consultants, scheduled audit windows, and manual evidence collection, resulting in compliance reports that become outdated the moment they are signed.dott.ai eliminates that model. Gemini reads raw regulatory text and automatically generates test scenarios. GKE executes those scenarios continuously against live systems. The platform stores every payload and log as immutable, auditable evidence. An Explainable AI layer provides transparent reasoning for every certification outcome, enabling regulators to understand not only that a system passed, but why it passed.The platform is already live in production at A5X (Brazil’s new stock exchange), where it certifies broker-dealer participants across FIX, MIT, Native, and SBE protocols, and at CERC (Brazil’s national receivables hub), where it automates participant onboarding homologation through a transparent inteligent DottProxy layer and companion assistent.Business model: every new regulation onboarded by a client increases Annual Recurring Revenue and cloud consumption in parallel. Regulatory complexity — the challenge every financial institution dreads — becomes the mechanism that drives the platform’s growth.Recognition: ISG Paragon TGT Prize — Innovation category (B3 case, 2024). Winner of the Torq Challenge 2024 — AI-driven DevOps automation. | $342.1K / Seed / Jan 05, 2024 | |
|
dott.ai: AI-Native Compliance Certification Platform
|
dott.ai was initially built as a software testing platform, but it pivoted to developing artificial intelligence–based workflow tools for business operations. The turning point came when the company launched an AI-native interoperability certification platform for regulated financial market infrastructures, replacing manual, episodicregulatoryinteroperability certification with a continuous, automated, and explainable certification pipeline built entirely on cloud infrastructure. Financial market infrastructures — including stock exchanges, clearinghouses, receivables hubs, and API-driven fintechs — must certify their participants and systems against a growing body of regulations before they can operate. The traditional model relies on consultants, scheduled audit windows, and manual evidence collection, resulting in compliance reports that become outdated the moment they are signed.dott.ai eliminates that model. Gemini reads raw regulatory text and automatically generates test scenarios. GKE executes those scenarios continuously against live systems. The platform stores every payload and log as immutable, auditable evidence. An Explainable AI layer provides transparent reasoning for every certification outcome, enabling regulators to understand not only that a system passed, but why it passed.The platform is already live in production at A5X (Brazil’s new stock exchange), where it certifies broker-dealer participants across FIX, MIT, Native, and SBE protocols, and at CERC (Brazil’s national receivables hub), where it automates participant onboarding homologation through a transparent inteligent DottProxy layer and companion assistent.Business model: every new regulation onboarded by a client increases Annual Recurring Revenue and cloud consumption in parallel. Regulatory complexity — the challenge every financial institution dreads — becomes the mechanism that drives the platform’s growth.Recognition: ISG Paragon TGT Prize — Innovation category (B3 case, 2024). Winner of the Torq Challenge 2024 — AI-driven DevOps automation. | $267.8K / Pre-Seed / Jan 05, 2023 |
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FAQ
What does Vericode Tecnologia LTDA invest in?
Vericode Tecnologia LTDA invests primarily in Finance, Compliance and Data Governance startups, most often at Seed and Pre-Seed stage. Most of the 3 investments tracked by Shizune back companies in Brazil. The Investment Focus section breaks down every industry, stage and country in the portfolio.
What is Vericode Tecnologia LTDA's check size?
Vericode Tecnologia LTDA typically joins rounds of $342k–$415k at Seed. These ranges are 10th–90th percentile round sizes calculated from confirmed public funding rounds, so they are a realistic guide to the rounds Vericode Tecnologia LTDA participates in.
When did Vericode Tecnologia LTDA last invest?
The most recent investment recorded for Vericode Tecnologia LTDA closed in Mar 2025. Shizune tracks 3 investments in total for this profile, including round sizes, stages and portfolio companies, all sourced from confirmed public funding rounds and refreshed monthly.
Is Shizune's investor data accurate?
Yes — every stat on this profile is calculated from confirmed public funding rounds monitored across hundreds of sources since 2020. This profile was last refreshed in Aug 2026 and is updated monthly. Spotted something off? Use the “Suggest an edit” link near the top of the page.
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