Foundation
November 2015
Different types
of expertise
Presence in
Brazil and Europe
QG’s
London, UK / São Paulo, Brazil
:: OUR VISION ::
Technology isn't about tools.
It's about making the right decisions in complex environments.
We work at the intersection of strongtechnical expertise and strongstrategic vision as the foundation for every strategic decision for your business.
What Keeps Tech Leaders Awake at Night
Three Real Pressures Facing CTOs, VPs, Directors, and Technology Managers
Risk.
No visible business continuity plan.
Critical environments without a structured disaster recovery plan expose the business to losses that go beyond data—including damage to reputation, fines, and downtime.
Cost.
Unpredictable and hard to justify
Hardware CAPEX becomes obsolete before it generates a return. In-house IT teams cost more than they deliver at scale.
Maturity.
Operations are lagging behind business growth
Reactive governance, the lack of a structured SRE framework, and heterogeneous environments create bottlenecks that hinder growth.
Infrastructure / Cloud Computing.
Disaster Recovery as a Service
Business continuity with environment replication and disaster recovery as code — on IBM Cloud and Red Hat OVE.
Storage as a Service
Scalable, immutable storage for regulated environments, PACS, and historical data with IBM Diamondback.
Hardware as a Service
Granular conversion of CAPEX to OPEX. IBM Power, Storage, and Diamondback contracted as a service.
Site Reliability Engineering
Experts heimr act as an extension of the client’s team—continuous improvement, SLOs, and best practices.
Migration and Modernization
Migration of critical workloads to IBM, AWS, OCI, Google, Azure, or a hybrid architecture—with governance.
Infrastructure Governance
Active management of cloud and on-premises environments with a 360° view and a dedicated customer support team.
The diagnosis most people avoid making
Three questions every CTO, CIO, and CDO needs to answer honestly.
60%
of AI projects fail
The main issue isn’t the model.
It’s data that lacks governance, quality, and traceability.
+25%
of IT staff time is spent managing alerts.
Most of them are false positives.
While the team deals with noise, real incidents go unaddressed.
12%
of revenue lost due to poor data.
Decisions based on incorrect or outdated data come at a real cost—both financial and reputational.
Data & AI.
DATA Protection
Active governance, observability, compliance, and guardrails ensure that only reliable data feeds AI and analytics.
PRACTICAL EXAMPLE
Financial institution avoids R$ 2 million in regulatory fines through automated compliance and real-time, auditable data lineage.
DATA Quality
Data harmonization, data pipelines, strategic integration, and vectorization transform raw data into actionable insights.
PRACTICAL EXAMPLE
Industry 4.0 reduces machine downtime by 40% by migrating from D+2 pipelines to real-time streaming with predictive volume alerts.
AIOps & Automation
Failure prediction, self-healing, intelligent alert triage, and autonomous infrastructure optimization.
PRACTICAL EXAMPLE
Telecom eliminates 92% of false positives and reduces MTTR by 75% with intelligent triage and auto-healing based on predictive models.
MLOps
Experimentation platform, model lifecycle, ethical governance, and resource scaling for AI in production.
PRACTICAL EXAMPLE
Lawtech reduces prototyping time by 70% with a standardized environment, automatic versioning, and ethical validation pipelines.
Do you know where your data really comes from?
Without active governance, untraceable data finds its way into AI models. The consequences remain hidden until they can no longer be ignored.
Does all your data speak the same language?
Integrations that merely exchange data do not generate insights. Fragmented and unstructured data is a completely underutilized asset.
Is your IT department still fighting fires?
Teams overwhelmed by false alerts miss what really matters. Operational AI shouldn’t just detect—it should predict, prioritize, and remediate.
How long does it take for a model to go into production?
Models that are delivered late or deteriorate without monitoring cost more than those that were never built. Speed combined with governance is what sets us apart.
