Xavier JOLAS (@xavierjolas) 's Twitter Profile
Xavier JOLAS

@xavierjolas

Interested in People | New Tech | Data & AI | Mobile and Location Based Marketing | Outdoor Ads | IoT | Digital Retail Solutions

All opinions are my own.

ID: 20664596

linkhttps://www.cnccef.org/en/home/ calendar_today12-02-2009 09:36:45

2,2K Tweet

355 Followers

881 Following

reDB (@redb_co) 's Twitter Profile Photo

🆕 Stream Service! We are delighted to introduce a new Data Stream Service that adds first-class support to your existing message broker (Kafka, MQTT, Kinesis, Pub/Sub, Event Hubs) with stream-to-database integration. The service automatically discovers and maintains schemas of

🆕 Stream Service!

We are delighted to introduce a new Data Stream Service that adds first-class support to your existing message broker (Kafka, MQTT, Kinesis, Pub/Sub, Event Hubs) with stream-to-database integration. The service automatically discovers and maintains schemas of
reDB (@redb_co) 's Twitter Profile Photo

Why data portability is broken... Most enterprises talk about being “data-driven” while their data is trapped in a maze of incompatible databases, clouds, and VPN tunnels. Every new AI initiative or migration project turns into months of fragile pipelines, custom scripts, and

Why data portability is broken...

Most enterprises talk about being “data-driven” while their data is trapped in a maze of incompatible databases, clouds, and VPN tunnels. Every new AI initiative or migration project turns into months of fragile pipelines, custom scripts, and
reDB (@redb_co) 's Twitter Profile Photo

ETL applies transformations pre-loading, suitable for batch workflows but inadequate for real-time AI applications. ELT defers transformations post-loading, enabling scalability but introducing vendor lock-in. Our whitepaper's comparison table highlights these limitations:

ETL applies transformations pre-loading, suitable for batch workflows but inadequate for real-time AI applications. ELT defers transformations post-loading, enabling scalability but introducing vendor lock-in. Our whitepaper's comparison table highlights these limitations:
reDB (@redb_co) 's Twitter Profile Photo

Complex data transformation flows made simple. This screenshot shows our DAG-based mapping in reDB — a clear, visual way to view and define how data moves and transforms across databases and streams. Every source, target, validation, rule, and transformation is represented as a

Complex data transformation flows made simple.

This screenshot shows our DAG-based mapping in reDB  — a clear, visual way to view and define how data moves and transforms across databases and streams. Every source, target, validation, rule, and transformation is represented as a
reDB (@redb_co) 's Twitter Profile Photo

2025 has been a foundational year for reDB! 👷‍♂️Our product development accelerated and we released 3 versions of the platform for different customer needs: open-source version, a newly released SaaS version, as well as the core enterprise solution. 👥 2 new team members came

2025 has been a foundational year for reDB!

👷‍♂️Our product development accelerated and we released 3 versions of the platform for different customer needs: open-source version, a newly released SaaS version, as well as the core enterprise solution.

👥 2 new team members came
reDB (@redb_co) 's Twitter Profile Photo

There’s been a lot of discussion around #contextgraphs, #decisiontraces, and how AI systems reason. Today we're launching TraceMem.com, trace-native infra that turns AI decisions into durable institutional memory. TraceMem is the system of record for AI decisions.

There’s been a lot of discussion around #contextgraphs, #decisiontraces, and how AI systems reason. Today we're launching TraceMem.com, trace-native infra that turns AI decisions into durable institutional memory. TraceMem is the system of record for AI decisions.
reDB (@redb_co) 's Twitter Profile Photo

AI agents are starting to act, not just assist. But when they change real-world systems, one question keeps coming up: Why was this allowed? Here's a short piece on why decision memory, not just context, will shape the future of AI agents.

reDB (@redb_co) 's Twitter Profile Photo

This article from Jaya Gupta and Ashu Garg resonates as we launch TraceMem.com, a new layer in the AI stack that enables you to preserve the history of 'why it happened' by making the context graph a system of record. foundationcapital.com/context-graphs…

reDB (@redb_co) 's Twitter Profile Photo

Just released the TraceMem OpenCode Plugin. It lets AI agents: -Open governed decision envelopes -Access approved data products -Record redacted decision traces -Route approvals when needed All with full traceability. tracemem.com/docs npm: @tracemem/opencode-plugin

Tommi Hippelainen (@hippelainen) 's Twitter Profile Photo

We often talk about "AI memory" as a single concept - but short-term memory, long-term memory, and decision memory solve very different problems. Here's a break down of those differences and why decision memory becomes unavoidable once AI systems start making real decisions.

Xavier JOLAS (@xavierjolas) 's Twitter Profile Photo

EU AI Act deadline: Aug 2026. High-risk AI needs full compliance logs—or risk €35M fines. #TraceMem from reDB automates decisions logging, audits & transparency. Are you ready?  #AIAct #Compliance #AIagents

reDB (@redb_co) 's Twitter Profile Photo

AI coding agents now leave a real audit trail! They refactor & ship code fast—but enterprises need: who approved what & why? TraceMem's OpenCode plugin wraps edits in governed Decision Envelopes—policies & approvals enforced pre-merge. Docs:tracemem.com/docs/guides/op…

reDB (@redb_co) 's Twitter Profile Photo

Every autonomous system leaves a trace. Now it's mandatory infrastructure. Introducing TraceMem: decision memory for agentic AI. Governed. Auditable. TraceMem is the decision memory and accountability layer that every enterprise agent system will need. Watch the demo 👇

reDB (@redb_co) 's Twitter Profile Photo

Most AI governance tools observe after the fact. TraceMem participates in the decision flow itself. There's a key difference: Deterministic context capture. Pre-execution policy enforcement. Immutable decision records at decision time. #AI #Architecture

reDB (@redb_co) 's Twitter Profile Photo

EU AI Act Article 12 requires high-risk AI systems to log everything. Automatically. Immutably. Forever. That's exactly what TraceMem does. We're the infrastructure that makes Article 12 compliance automatic—so enterprises can deploy agents confidently. #AIAct #AIGovernance

EU AI Act Article 12 requires high-risk AI systems to log everything. Automatically. Immutably. Forever.  

That's exactly what TraceMem does. We're the infrastructure that makes Article 12 compliance automatic—so enterprises can deploy agents confidently. #AIAct #AIGovernance
reDB (@redb_co) 's Twitter Profile Photo

Financial institutions: what if AI-driven loan decisions' traceability was built inside the decision flow, not bolted on afterwards? #AI #traceability #tracemem #Finance #Governance #EUAIAct

Financial institutions: what if AI-driven loan decisions' traceability was built inside the decision flow, not bolted on afterwards?

#AI #traceability #tracemem #Finance #Governance #EUAIAct
reDB (@redb_co) 's Twitter Profile Photo

Compliance risk is now a tech infrastructure problem. Firms with complete data traceability move faster through audits, respond to regulators in hours not weeks, and reduce breach investigation time from months to days. TraceMem solves this👇

reDB (@redb_co) 's Twitter Profile Photo

AI agents isolating grid faults? Blocking cyber threats? Rerouting logistics? #TraceMem captures intent, evidence, rules, and outcomes as tamper-proof institutional memory—for explainability, audits, trust. #AIAgents #Cybersecurity #EnergyTech #AICompliance #TraceMem #EUAIAct