❓ Help Center
Frequently Asked Questions
Everything you need to know about partnering with Global Successors, our AI models, security practices, and cloud infrastructure operations.
Artificial Intelligence & LLMs
We use strict zero-retention API agreements with providers like OpenAI and Anthropic.
Alternatively, we can deploy secure, open-weights models (like Llama 3) entirely within your
own Virtual Private Cloud (VPC), meaning your data never leaves your environment.
RAG stands for Retrieval-Augmented Generation. Instead of relying on a model's public
knowledge, RAG links the AI directly to your internal documents, databases, and PDFs. This
makes the AI a subject-matter expert on your specific company data.
Yes. We develop multi-agent systems using frameworks like LangChain and AutoGen. These
agents don't just answer questions—they execute workflows, generate reports, send emails,
and control software APIs autonomously on your behalf.
We are model-agnostic. Depending on your needs, we integrate OpenAI (GPT-4o), Anthropic
(Claude 3.5), Google (Gemini Advanced), or deploy localized open-source models like Meta's
Llama 3 and Mistral for maximum security.
Absolutely. As long as your legacy system has an API, a database interface, or export
capabilities, we can engineer middleware to parse that data and feed it securely into
modernized AI applications.
We heavily mitigate hallucinations by implementing strict vector-search boundaries and using
deterministic "grounding" techniques. Our RAG pipelines are engineered to say "I don't know"
rather than guess if data isn't explicitly provided.
Custom Software Engineering
We specialize in modern JavaScript/TypeScript ecosystems. We typically use React/Next.js for
interfaces, Node.js for backend APIs, and PostgreSQL or MongoDB for databases, ensuring
blazingly fast and scalable software.
We predominantly use React Native and Flutter. This allows us to maintain a single codebase
for both iOS and Android, drastically reducing your initial development costs and future
maintenance overhead while delivering near-native performance.
You do. Once final payment is completed, all intellectual property, source code
repositories, and deployment architectures are 100% transferred to your company.
Yes. Before writing a single line of code, our design team produces high-fidelity Figma
prototypes of the software. We only begin engineering once you approve the workflows and
visual aesthetics.
A Minimum Viable Product (MVP) generally takes 8 to 12 weeks. Complex enterprise systems
integrated with custom machine learning pipelines can take 4 to 6 months. We provide exact
timelines during the technical discovery phase.
Cloud Infrastructure & DevOps
We are certified experts across all three major clouds. However, we typically recommend AWS
or Google Cloud for AI-heavy workloads due to their superior Machine Learning environments
and scaling capabilities.
Yes. Cloud optimization is a core service. We audit your infrastructure, right-size
instances, implement auto-scaling, remove zombie resources, and transition to serverless
architectures to cut costs by up to 40%.
If you are under our Managed Support SLA, our automated alerting systems notify our on-call
engineering team immediately via PagerDuty. We promise a rapid reaction time to diagnose and
restore services to ensure 99.9% uptime.
We implement automated, redundant snapshots of all databases on a daily (or hourly) basis.
Backups are stored in geographically distinct availability zones, ensuring your business
survives any single-datacenter failure.
Working With Global Successors
We offer two primary models: Fixed-price contracts with clearly defined scopes for
project-based work, and Dedicated Team retainers where we provide a dedicated pod of
engineers on a monthly basis for continuous development.
Yes, deeply. Software is living code. We provide comprehensive SLAs (Service Level
Agreements) for security patches, API updates, performance monitoring, and bug fixes to
ensure your software never degrades.
100% in-house. All our engineers, designers, and data scientists are full-time employees
working securely from our engineering hubs. This guarantees code quality, strict security
protocols, and long-term project stability.
Transparency is our priority. We set up shared Slack or Teams channels for real-time
communication, use Jira or Linear for ticket tracking, and hold scheduled weekly sync calls
to present demos and discuss progress milestones.
Absolutely. We begin every engagement with "Technical Discovery." During this phase, our
architects work with your stakeholders to translate your business goals into concrete system
architecture diagrams, database schemas, and cost estimates.
Still have questions?
Reach out to our experts for a personalized technical consultation.
Contact Our Team