TECH INDUSTRY
Optimize software development and operations at scale
In the GenAI era, technology demands faster delivery cycles to ensure market leadership.







Engineered for technology teams in the GenAI era
We help technology teams turn AI from added complexity into real advantage — reducing operational noise, accelerating delivery, and keeping AI projects governed end to end. Our solutions span the full lifecycle of building and running software in the GenAI era.
Intelligent IT
Operations
Operational noise hinders agility in the GenAI era. Our Intelligent IT Operations uses Platform Engineering and automation to unify multi-cloud governance, ensuring a 73% reduction in IT incidents.
AI-Driven SDLC
Empower your experts and accelerate your SDLC by 60%. Our AI-assisted automation process automates testing and documentation, allowing you to focus entirely on innovation.
Agile for
AI Projects
Enable innovation with Agile for AI. We structure AI Governance, ensuring traceability and regulatory compliance. Mitigate bias risks with human oversight.
OUR SOLUTIONS
73%
Reduction in IT incidents
30%
increased product performance
60%
acceleration in development tasks
89%
Customer satisfaction index
BIG NUMBERS
Featured results
Unified AI matching engine
Modern service management on Jira
Governed multi-account AWS
01
02
03
SaaS & Tech
Data Intelligence to Connect Talent at Scale
Vagas, a leading recruitment platform, ran professional and job recommendations on separate, non-integrated matching engines. We unified them into a single AI matching engine on AWS, powered by a new data lake consolidating millions of candidates, jobs, and companies — delivering sharper two-way matches at scale.
AI
Cloud
Data
Education
Streamlined Service Management for Higher Education
Seton Hall University ran IT and business services on a decade-old, costly software suite that frustrated students and staff. We rebuilt service management on Jira Service Management — adding self-service, a knowledge base, and asset tracking — and migrated the ticketing system two months ahead of deadline. The result: 70% lower licensing costs, 18% fewer tickets, and five IT agents freed for higher-value work.
ITSM
Atlassian
Service Management
Logistics
A Safer Path to Cloud Transformation
Wilson Sons, Brazil's largest integrated port and maritime logistics operator, needed a secure, compliant cloud foundation for its digital transformation. We migrated its VMware infrastructure to VMware Cloud on AWS, built governed multi-account landing zones with least-privilege access, and added a full CI/CD pipeline. The result: centralized, auditable governance and a secure platform that keeps accelerating modernization.
AWS
Cloud
DevOps
Scrapy
Customer
testimonial
Here`s what our clients had to say about e-Core.
We are now at the top of the search results, which helps increase installs of our app and, consequently, our revenue."

FAQ
Common questions about tech industry
1. How to implement AI in the SDLC without compromising delivery speed?
We use an Assisted AI approach, integrating intelligent agents directly into the developers' workflow. This automates repetitive tasks (such as testing and documentation) in a modular way, allowing the team to focus on innovation without reducing velocity.
2. Does e-Core support highly complex global operations?
Yes. As Atlassian Platinum partners and AWS specialists, we structure operations for companies with thousands of users. We unify engineering governance in multi-cloud environments, ensuring that infrastructure growth does not generate technical debt.
3. How to eliminate silos between Engineering, Product, and Operations areas?
We implemented Platform Engineering and unified workflows in Jira Service Management. By centralizing communication and tools, we drastically reduced friction between teams, optimized Time-to-Market, and decreased MTTR in production environments.
4. How to ensure security in microservices and AI-based architectures?
We adopted a Shift-Left Security and native DevSecOps approach. We implemented security directly in the CI/CD pipeline and applied Zero Trust protocols to protect APIs and sensitive data consumed by language models (LLMs).
5. How to deal with governance and ethics in the use of generative AI?
We support the structuring of a solid AI Governance, ensuring the traceability of generated code and compliance with the new regulations of 2026. We focus on transparency, data auditing, and maintaining human oversight (Human-in-the-loop) to mitigate bias risks.
GET IN TOUCH
Prepare your infrastructure for the AI era.
Eliminate disruptions, ensure regulatory compliance, and scale your technical governance. Discover how e-Core solutions use intelligent automation to transform your technology operation into a secure engine of innovation.
