Now in Early Access · Join 200+ engineering teams

Software Built at Machine Speed. Human-Certified Quality.

Submit a feature. Five AI agents execute your full SDLC — requirements through deployment. Expert supervisors worldwide review and certify every phase gate before it advances.

Start Building Free → See How It Works

✓ No engineers required

✓ 100% human-certified output

✓ SOC 2 compliant

✓ First feature free

How It Works

The SDLC Pipeline,
Fully Automated

Five specialised AI agents handle every phase of software delivery — in sequence, with no hand-holding. A human expert certifies each output before the next phase begins.

📋

Phase 01

Requirements

Requirements Agent

Translates your request into structured user stories, acceptance criteria, and edge-case analysis.

🏗️

Phase 02

Architecture

Design Agent

Produces system design, ADRs, data models, and API contracts — grounded in your codebase via RAG.

⚡

Phase 03

Coding

Coding Agent

Writes production code, inline docs, and a full change diff across your repo. Zero boilerplate.

🛡️

Phase 04

QA & Testing

QA Agent

Generates unit, integration, and E2E tests. Runs OWASP security scans and coverage reports.

🚀

Phase 05

Deployment

Deploy Agent

Handles CI/CD pipeline execution, environment config, health checks, and rollback safeguards.

🌍 Human Phase Gates

Senior Experts Certify Every Output

Before any phase advances, a matched supervisor from our global talent network reviews the AI output, requests revisions if needed, and provides a cryptographic approval. Your software ships with senior sign-off — not just AI output.

+340

Global Supervisors

Matched by stack, timezone & domain

Platform Capabilities

Built Different,
By Design

Globl.ai isn't a copilot or an autocomplete. It's an autonomous delivery system with structural quality guarantees.

⚡

Full-Stack AI Execution

Five specialised agents cover every SDLC phase autonomously — from initial spec to production deployment. No prompt-engineering required from your side.

Autonomous

👁️

Human Phase Gates

Quality is structurally guaranteed — not hoped for. A senior supervisor reviews and certifies every agent output before the pipeline advances. No phase is skipped.

Certified

🧠

RAG-Grounded Context

Agents retrieve semantically relevant context from your codebase, ADR history, and test records. Every decision is grounded in your specific architecture — not hallucinated.

Contextual

💸

88–95% Cost Reduction

Replace execution hours with AI compute. Your team pays for expert judgment and strategic oversight — not repetitive implementation cycles that burn budget and morale.

Economics

🌍

Global Talent Network

340+ vetted supervisors across 38 countries, matched in real time by timezone, tech stack, domain expertise, and current availability. Follow-the-sun execution.

Global

🔒

Cryptographic Audit Trail

Every AI output, supervisor decision, revision, and deployment is logged with cryptographic provenance. Immutable. Exportable. SOC 2 Type II ready out of the box.

Compliance

Cost Comparison

The Numbers Are Hard to Ignore

A medium-complexity feature (5–8 dev days). Globl.ai vs. the traditional market.

SDLC Phase

Nearshore

Offshore

Globl.AI ✦

Requirements

6–10 hrs

$510–$850

$210–$350

$20–$30

Architecture

4–8 hrs

$340–$680

$140–$280

$40–$60

Coding

16–32 hrs

$1,360–$2,720

$560–$1,120

$80–$100

QA & Testing

6–12 hrs

$510–$1,020

$210–$420

$25–$35

Deployment

2–4 hrs

$170–$340

$70–$140

$10–$15

Total (34–66 hrs)

Per medium feature

$2,890–$5,610

$1,190–$2,310

$175–$240

~95%

savings vs. nearshore

~88%

savings vs. offshore

12×

faster delivery speed

Social Proof

Trusted by Engineering Leaders

Teams using Globl.ai are shipping more with smaller headcount — and sleeping better.

★★★★★

We replaced a 3-person nearshore squad with Globl.ai. First month, we shipped 14 features that would have taken the squad 8 weeks. The supervisor model is what convinced our CTO — it's not just AI output, it's certified work.

Sarah R.

VP Engineering · Acme Corp

★★★★★

The RAG context integration was the breakthrough moment for us. The agents actually understand our existing codebase — they write code that looks like our engineers wrote it. First PR that came through, two people asked who the new dev was.

Kofi L.

CTO · NovaTech

★★★★★

We're a Series A fintech with SOC 2 requirements. Globl.ai's audit trail was a non-negotiable for us. The cryptographic provenance on every decision? Our compliance team was more excited than our engineers.

Aisha M.

Head of Engineering · FinFlow

Pricing

Simple, Transparent Pricing

Pay for features delivered — not headcount. No hidden costs, no per-seat fees.

Starter

Launch

For startups and solo founders validating their first product features.

$ 49 /feature

avg. 6–8 hour delivery · 4h SLA

✓ All 5 SDLC phases
✓ Human supervisor review
✓ Full code diff & test suite
✓ 1 revision cycle included
✕ Dedicated supervisor
✕ RAG codebase ingestion
✕ SLA guarantees

Questions We Actually Get Asked

How does Globl.ai differ from GitHub Copilot or Cursor?

▼

Copilots assist individual developers with autocomplete and chat. Globl.ai replaces the delivery team — it autonomously executes the entire SDLC from requirements to deployment, with human expert review at every phase gate. You submit a feature description; you receive production-ready, certified code. No developers in the loop required.

Who are the human supervisors and how are they vetted?

▼

Our supervisors are senior engineers, architects, QA leads, and DevOps specialists with 8+ years of experience. Every supervisor goes through a structured vetting process: technical assessment, reference checks, and supervised trial reviews. They're matched to your feature based on tech stack, domain expertise, and timezone — not whoever's available.

How does codebase context work? Is my code safe?

▼

You connect your repo (GitHub, GitLab, Bitbucket) and we ingest it into an isolated, encrypted vector store scoped to your organisation. Agents retrieve relevant context at runtime — they never train on your code. Data is never shared between customers. Enterprise customers can opt for on-prem or VPC deployment with zero data egress.

What happens if the AI output isn't good enough?

▼

That's exactly what supervisors are for. If an agent's output doesn't meet the spec, the supervisor flags it, adds revision notes, and the agent regenerates. Revision cycles are unlimited on Retainer and Enterprise plans. Supervisors are incentivised to maintain high standards — their ratings and earnings are directly tied to output quality.

Can Globl.ai handle complex, multi-system features?

▼

Yes. Our complexity estimator classifies features as simple, medium, or complex before execution begins. Complex features trigger extended agent sessions, additional supervisor review cycles, and — for Enterprise plans — multi-supervisor board review. We currently support TypeScript, Python, Go, Rust, Java, Ruby, and most mainstream frameworks.

How do I receive the delivered code?

▼

Globl.ai opens a pull request directly against your repo with a full diff, inline documentation, test suite, and supervisor sign-off certificate. You review the PR as you would any team submission — merge it when ready. We also integrate with Jira, Linear, and Slack for full workflow continuity.

Software Built at Machine Speed. Human-Certified Quality.

The SDLC Pipeline,Fully Automated

Built Different,By Design

The Numbers Are Hard to Ignore

Trusted by Engineering Leaders

Simple, Transparent Pricing

Questions We Actually Get Asked

Your First FeatureShips Free.

The SDLC Pipeline,
Fully Automated

Built Different,
By Design

Your First Feature
Ships Free.