
Applied AI Company for Established Software
GoGloby is an applied AI company and applied AI engineering partner for established software teams. We put AI into production, fix the delivery problems holding it back, and measure what each shipped feature costs against your own baseline.
- Visibility: See what AI costs and what your team ships with it.
- Delivery: Measure whether AI helps features reach production faster against your own baseline.
- ROI: Connect AI spending to shipped work so you can see whether the investment is paying off.





What Is an Applied AI Company?
An applied AI company helps teams use AI in real production workflows, not just in demos, pilots, or strategy decks.
For software companies, that means putting AI into the codebase and development process while measuring whether it actually improves delivery. GoGloby connects AI spending to the work your team ships, then works inside your engineering workflow to fix the bottlenecks the data exposes.
GoGloby combines those capabilities through the AI Intelligence Layer and Forward-Deployed Engineering. Progress is measured against your own baseline, so you can see whether AI is making engineering faster or more efficient.
Applied AI Company vs. AI Consulting Firm
Applied AI consulting firms usually help define a strategy or roadmap. GoGloby also works inside the engineering workflow to deliver changes and measure the results against your existing baseline.
Applied AI Company vs. Staffing Agency
A staffing agency adds engineering capacity. GoGloby combines embedded engineering with measurement, so you can see what the team ships, what it costs, and whether performance is improving.
The Applied AI Engineering Gaps We Solve
Four problems often appear when established software teams start using AI. The first step is identifying which one is actually limiting the result.

Uneven AI Adoption
Some engineers use AI throughout their workflow while others barely use the tools they have. Buying licenses does not guarantee adoption. The Layer shows where AI is actually being used and where adoption is still limited.

Unstable AI Delivery
AI can help engineers write code faster without helping the team ship faster. More changes enter review, reviewers become the bottleneck, and no one knows whether AI-generated output is safe to merge. The goal is to improve the whole workflow, not just code generation.

Uncontrolled AI Spend
AI spending can grow quickly across Claude Code, Cursor, GitHub Copilot, and model usage. The problem is knowing which spending contributes to shipped work and which spending produces little value.

Invisible AI ROI
Companies spend more on AI, but many still cannot show what changed in delivery. GoGloby connects AI ROI to shipped work and makes it visible per feature, per team, per developer, and per dollar against the company’s starting baseline.
Applied AI Services GoGloby Delivers
GoGloby combines three applied AI services and solutions so engineering leaders can see what AI is doing, improve how teams use it, and measure the result.
How Our Applied AI Engineering Model Works
Start by measuring the current engineering workflow. Then improve the areas holding AI-assisted delivery back and compare each result with the baseline.
Security and Control for Applied AI Production
GoGloby works within the access and security controls defined by the client. Engineering access is logged and can be revoked, while the AI Intelligence Layer runs inside the client’s VPC.
Applied AI Company Trusted by 100+ Clients Across 10+ Industries
Why GoGloby Is Different From Other Applied AI Companies
Output Up, Waste Down, Proven Monthly
Some companies measure engineering performance but do not help change it. Others provide engineers without measuring whether performance improves.
GoGloby combines both. The AI Intelligence Layer shows where AI spending and engineering time are going. Forward-deployed engineers work with the team to improve the problems the data reveals. Each result is then compared with the previous baseline.
- See where AI spending contributes to shipped work.
- Identify delivery and review bottlenecks.
- Improve the workflow with embedded engineering support.
- Compare results against the team’s previous baseline.
- Give engineering leaders and the board the same view of progress.
The AI Development Services GoGloby Delivers
GoGloby covers the full AI development lifecycle. It is wrapped in secure engineering delivery. Each service below ties AI to your product, codebase, data, workflows, and rules from the first sprint. The team works in Claude Enterprise, while the codebase stays in your own cloud.
US-Aligned Applied AI Engineering Hubs
We operate across key engineering hubs in North America and Latin America, aligned with US time zones to ensure coverage, speed, and enterprise-grade security.
Headquarters:
8 The Green, Ste. R, Dover, DE 19901, United States
Office in Argentina:
Av. Hipólito Yrigoyen 146, 15th Floor, Córdoba Business Tower, Córdoba, Argentina
Office in Mexico:
Blvd. Miguel de Cervantes Saavedra 169, Granada, Miguel Hidalgo
Mexico City, Mexico






Contact Us
Submit your information to schedule a technical briefing. We will walk you through how we put Claude into production safely and our under 4-week embedding process.
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FAQs
An applied AI company helps businesses use AI in real production workflows rather than limiting it to demos or experiments. For software teams, that means using AI inside the engineering process and measuring whether it improves delivery.
Applied AI services help companies move AI from experimentation into production. GoGloby combines engineering measurement, forward-deployed engineering, an Agentic SDLC, and AI cost optimization so teams can improve delivery and measure the result.
GoGloby delivers and measures inside your workflow, where a consulting firm advises and leaves. We benchmark your AI spend, forward-deploy engineers into your pipeline, and prove the return every month against your baseline, all in one contract.
The AI Intelligence Layer connects AI spending with engineering work. It shows what work costs, where AI is being used, and how those numbers change against the team’s baseline.
GoGloby is for established B2B software companies, usually a CTO or VP of Engineering with a 20+ engineering org and an AI budget already spent. The highest-priority fit is PE-backed, with board pressure to prove AI ROI in measurable numbers.
No. The AI Intelligence Layer connects with tools the team already uses, such as Jira, GitHub, Claude Code, and Cursor. GoGloby engineers also work through the client’s existing development workflow.











