Uncover & Fix What’s Holding Your AI Engineering Back
GoGloby is an Applied AI Engineering partner. We turn engineering into AI-native production for established software companies: we find what’s slowing your engineering down, put the right people inside your team to fix it, and prove the result every month.
- We embed Forward-Deployed Engineers. Senior AI engineers inside your team in under 4 weeks, shipping at AI speed against your own baseline.
- We prove AI ROI. Every embedded team comes with the AI Intelligence Layer: every AI dollar visible, cost and return per shipped feature, month over month.
- We recruit US AI leaders. Hire a Head of AI, VP AI, AI Architect, or Principal AI Engineer who has already shipped AI in production.
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 does this three ways: we recruit the AI leaders who own it, we embed the forward-deployed engineers who ship it, and we run the AI Intelligence Layer that proves it against your own baseline.
GoGloby vs. AI Consulting Firm
Consultants define a roadmap and leave. GoGloby works inside your repos, pipeline, and review process to deliver the changes, then measures the result against your baseline
GoGloby vs. Staffing Agency
Staffing adds capacity. GoGloby embeds FDEs under your direction, with the AI Intelligence Layer running in your environment, so you see what ships, what it costs, and whether it’s improving
GoGloby vs. Recruiting Firm
Recruiters screen résumés. GoGloby vets every US AI leader on production work: what they’ve shipped inside an established codebase, how they’ve run a team through it.
The Applied AI Engineering Gaps We Solve
Five problems often appear when established software companies 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 AI Intelligence 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.
No Number For The Board
Everyone works with AI, budgets are approved, and when the board asks what it returned there is nothing to show. Hours and story points say nothing about AI. The Layer gives the CTO one chart against the company’s own baseline.
No Access to Proven AI Talent
Engineers who already run an agentic SDLC on production code are a few thousand people, and labs and hyperscalers compete for every one. They’re not on job boards, and a mid-market offer rarely wins. GoGloby embeds them nearshore, forward-deployed in under 4 weeks.
Applied AI Services GoGloby Delivers
GoGloby recruits the AI leaders, embeds the FDE engineers, and runs the measurement, so engineering leaders can see what AI costs, fix how teams use it, and prove the return.
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.
What GoGloby Delivers and Who It’s Best For
GoGloby delivers outcomes, not hours. Each engagement below ties the people we place, the process they install, and the measurement they leave behind to your product, codebase, and delivery baseline from the first sprint, so you can see what you got and whether it worked.
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 the Benchmark, what your features cost today, and how our engineers forward-deploy in under 4 weeks.
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Leading Software Companies Choose GoGloby
Get Your Applied AI Engineering Benchmark
See what your engineering work costs today, where AI is actually being used, and where delivery is slowing down. GoGloby establishes the baseline first so every improvement that follows can be measured against it.
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 the AI Intelligence Layer, Forward-Deployed Engineers who install the Agentic SDLC, and AI spend 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.