offshore.dev

Gorilla Logic

Medellin, CO Website 201-500 employees
$25 - $50/hr

Technologies

Infrastructure-as-CodeCloud Platform EngineeringDevOpsAutomated QA (SDET)Machine LearningFull Stack DevelopmentMobile DevelopmentBackend DevelopmentWeb DevelopmentData Platform EngineeringBusiness IntelligenceSite Reliability EngineeringCloud MigrationSystems Integration

Services

AI-Enabled Product EngineeringDigital Product Development (AI-Enabled Pods)Product & Platform ModernizationSustaining EngineeringPlatform Engineering, DevOps & SREDevOps/SRE-as-a-ServiceIntelligent Quality EngineeringAI-Augmented Test AutomationGorilla Logic Construct™Documentation & Blueprint AcceleratorsObservability & Issue Intelligence AcceleratorsTest Data Generation & E2E Automation AcceleratorsDevOps/SRE Rapid DiagnosticQuality & Performance Rapid DiagnosticCloud Platform Engineering

Notable Clients

Global Automotive CompanyTravel CompanyWorld's Largest Multi-Week Sporting Event (streaming infrastructure)

Gorilla Logic is a Colombian digital product engineering firm that builds and modernizes software for global brands, private equity teams, and high-growth companies. The company operates with a two-decade track record of refining delivery models, and now centers its approach around AI-enabled workflows. Its core thesis is that AI has shifted where engineering leverage lives—and that success depends on clarity about what to build, designing it well, and validating quickly. Rather than selling AI as a standalone tool, Gorilla Logic embeds automation and machine learning into every phase of the software development lifecycle, from requirements and design through deployment and sustainment.

The company's signature offering is Gorilla Logic Construct™, a portfolio of delivery-tested workflows and modular AI agents. According to the source material, these workflows are proven in delivery, reusable by design, and capable of reducing engineering effort by 30–80%. The model is not theoretical—Gorilla Logic claims to deliver measurable impact on velocity, quality, and innovation, tracked through live scorecards that monitor predictability, flow efficiency, and quality on a fixed cadence.

Services and capabilities

Gorilla Logic structures its work around three core service lines, each with specific AI-augmented offerings.

AI-Enabled Product Engineering covers digital product development, platform modernization, and sustained engineering. The company offers outcome-aligned pods for feature delivery, code translation and validation for modernization, rapid diagnostics for adoption roadmaps, and documentation accelerators. It also runs a Product Engineering Center for multi-pod delivery at scale. The capabilities span technical product management, engineering management, full-stack and mobile development, visual design, and business analysis.

Platform Engineering, DevOps & SRE focuses on reliability and operational efficiency. Offerings include DevOps/SRE rapid diagnostics, secure DevOps roadmaps, platform engineering blueprints, observability and issue intelligence accelerators, and DevOps/SRE-as-a-Service pods. The company works with infrastructure-as-code, automated guardrails, and intelligent orchestration to help teams standardize cloud operations and improve observability. Specific capabilities include cloud platform engineering, cloud migration, systems integration, and site reliability engineering.

Intelligent Quality Engineering applies AI to testing and release management. The company offers quality diagnostics, QA and test automation roadmaps, test data generation and end-to-end automation accelerators, and AI-augmented test automation through outcome-aligned pods. The team performs both automated QA (SDET) and manual QA.

Across all three lines, Gorilla Logic emphasizes metrics-led governance. Every engagement operates with a live scorecard tracking predictability, flow efficiency, and quality. Results are reviewed regularly and used to guide delivery decisions—what to accelerate, where to remove blockers, and how to sustain reliability as teams scale.

Notable work

The source names three specific outcomes: reducing mean time to recovery (MTTR) by 20% with AI-powered diagnostics for a global automotive company; increasing a travel company's revenue by 1.5x with dynamic pricing machine learning solutions; and delivering scalable DevOps support for the world's largest multi-week sporting event (a reference to streaming infrastructure for a major sports broadcast).

How they work

Gorilla Logic operates with what it calls "time zone affinity"—onshore and nearshore teams that work in client hours and embed directly with client teams for real-time collaboration. The company treats measurement as part of the work, not an afterthought. Transparent progress and measurable outcomes are baked into the operating model—planned, captured, and reviewed on a fixed cadence. Each engagement aligns engineering discipline with adaptive delivery to translate effort into impact. The source emphasizes low attrition and long client tenure as sources of continuity and stability.

Team and credentials

The source does not provide total team size, salary ranges, founding year, founder names, or formal certifications (ISO 27001, SOC 2, etc.). It mentions a "leadership team" and "board of directors" but does not name them in the scraped material. The company does highlight that it has operated for two decades, refining delivery models. One cultural note: the company articulates its values as "We Are One Band of Gorillas," "We Assume Good Intentions," "We Embrace Transparency," and "We Are Unstoppable."

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Frequently Asked Questions

What does Gorilla Logic specialize in?
Gorilla Logic builds and modernizes digital products and platforms using AI-enabled workflows. The company works across three main areas: AI-enabled product engineering (new products, modernization, sustained engineering), platform engineering and DevOps/SRE (reliability and operational efficiency), and intelligent quality engineering (AI-driven testing and release management). Every engagement is tracked through live scorecards measuring predictability, flow efficiency, and quality.
Where is Gorilla Logic based?
Gorilla Logic is based in Colombia. The company operates with onshore and nearshore teams that work in client time zones and embed directly with client teams for real-time collaboration.
What is Gorilla Logic Construct™?
Gorilla Logic Construct™ is the company's portfolio of delivery-tested workflows and modular AI agents. These workflows are reusable by design and proven in delivery. According to the company, they are capable of reducing engineering effort by 30–80%. Construct™ includes documentation accelerators, blueprint accelerators, observability and issue intelligence accelerators, and test data generation accelerators.
What measurable outcomes has Gorilla Logic delivered?
The company cites three specific results: reducing MTTR by 20% with AI-powered diagnostics for a global automotive company, increasing a travel company's revenue by 1.5x with dynamic pricing machine learning solutions, and delivering scalable DevOps support for the world's largest multi-week sporting event's streaming infrastructure.
How does Gorilla Logic track progress?
Every engagement operates with a live scorecard that tracks predictability, flow efficiency, and quality on a fixed cadence. Results are reviewed regularly and used to guide delivery decisions. The company treats measurement as part of the work—planned, captured, and reviewed consistently across programs so trends are visible and comparable over time.
What is Gorilla Logic's engagement model?
Gorilla Logic works side-by-side with clients through outcome-aligned pods and rapid diagnostics. The company emphasizes time zone affinity, with onshore and nearshore teams embedded with client teams. Engagements span new product development, platform consolidation, application modernization, and sustained engineering, with low attrition and long client tenure providing stability.

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