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AI Labs:
the risk-free path to AI transformation

AI Labs delivers R&D-as-a-Service through fixed-price, easy-to-buy consulting packages that help organizations move from uncertainty to concrete outcomes, powered by tangible assets and strategic guidance. Assess what’s possible with AI and bring a prototype to life in days or weeks, so you can invest in scale with confidence.

A fixed-price foundation for enterprise AI

Choose from four fixed-price engagement tiers tailored to your project’s scope, feasibility, and desired outcomes.

XS - Fast validation

XS

Fast validation

Designed for:

A rapid feasibility check for clear, narrowly defined use cases.

Pick this if:

You already know what you want to validate and need a fast, low-cost confirmation before investing further.

Includes:

  • Rapid analysis of the use case
  • Light data review or API exploration
  • A simple proof-of-concept script using LLMs and data-analysis capabilities or simulating the behavior of a basic agent

Expected output:

POC script demonstrating core functionality.

Example use cases:

  • Extracting structured data from a small set of documents
  • Generating summaries or classifications from a known data source
  • Testing a simple automation using an existing API
S - Applied prototyping

S

Applied prototyping

Designed for:

Well-defined problems with moderate complexity that require hands-on experimentation and a lightweight prototype.

Pick this if:

You want to see a concrete example before committing to a full product build.

Includes:

  • Rapid analysis of the use case
  • Light data review or API exploration
  • A simple proof-of-concept script using LLMs and data-analysis capabilities or simulating the behavior of a basic agent

Expected output:

Clickable or callable prototype with minimal UI or workflow logic.

Example use cases:

  • AI assistant supporting operational teams
  • Automated report generation from internal data
  • AI-assisted workflow for triaging or enriching operational information
  • Document-insight extractor with configurable rules
M - Multi-path experimentation

M

Multi-path experimentation

Designed for:

Use cases with partial clarity or higher complexity that require structured exploration, multiple solution experiments, and more hands-on development.

Pick this if:

You need clarity on technical feasibility, multiple design options, and a concrete roadmap to move into production.

Includes:

  • Deeper discovery (interviews, workflow mapping)
  • Multiple POC iterations exploring different solution paths
  • Integration with selected data sources for advanced analysis, reporting, and AI-driven reasoning
  • Evaluation of how multiple agents collaborate, hand off tasks, or chain actions
  • Clear guidance on feasibility, risks, and trade-offs
  • Evaluation metrics and technical recommendations

Expected output:

A refined POC or demo illustrating different solution paths and recommended direction.

Example use case:

  • Agent-based automation for a full department workflow
L - Exploratory AI solution design

L

Exploratory AI solution design

Designed for:

Ambiguous, complex, or frontier AI challenges requiring broad discovery, extensive prototyping, and strategic validation.

Pick this if:

You're tackling big, transformational problems and you need clarity, confidence, and a strategic foundation for a full production initiative.

Includes:

  • Full discovery phase (stakeholder interviews, process analysis, data audits)
  • Research on emerging, frontier, or unreleased technologies with few or no industry examples.
  • Multiple prototypes exploring different architectures and approaches
  • End-to-end demo combining AI automation with multi-source data analysis and advanced reporting
  • Technical roadmap + implementation plan (timeline, risks, and cost estimate for a production-ready solution)
  • Clear target architecture definitions describing agent roles, workflows, guardrails, data flows, integration points, risks
  • Runnable evals and accuracy reports
  • Analysis of unexplored features using emerging or experimental technologies, with a future-oriented vision.

Expected output:

A sophisticated prototype or experimental solution that demonstrates feasibility across multiple dimensions and foundations to build a final product (e.g: architecture, roadmap).

Example use cases:

  • Complex multi-agent system coordinating tasks across departments or data silos
  • Long-running agents combining workflows, deep reasoning, and predictive analytics
  • R&D of several experimental technologies for new AI-driven products or services

Move beyond the AI pilot trap

Across industries, the majority of organizations remain stuck in low-transformation mode, relying on generic tools that impress in demos but fail in real-world workflows. AI's rapid evolution, high complexity, and non-deterministic nature make traditional project sizing unreliable, often leading to costly missteps, stalled initiatives, or endless debate with little progress.

CloudX AI Labs is engineered to break this cycle by creating a safe decision space where opinions are replaced with evidence and trade-offs become visible early. Our fixed-price model makes enterprise-grade AI experimentation both affordable and low-risk, ensuring you can explore AI's potential and accurately size your project prior to significant investment.

With AI Labs, you're making a strategic small investment in your organization's future. Gain clarity on what works and ensure every dollar invested is a step toward long-term impact.

Building in-house vs. working with an expert partner: time to production and success rate

From "top-down" to agentic innovation

The true transformative potential of LLMs remains largely untapped. Through our deep expertise and continuous R&D exploration, we uncover hidden AI possibilities, moving beyond isolated pilots toward workflows where AI can reliably drive outcomes.

What you get

A solid foundation

Build rapid proofs of concept (PoC), run focused R&D experiments, and test AI solutions on demand. We don’t build throwaway prototypes: you get an early-stage product you can continue building on.

Predictable value

Choose from four fixed-price engagement tiers (XS, S, M, L), tailored to your project’s scope, feasibility, and desired outcomes

Enterprise-grade quality

Every engagement is led by 100% AI-certified senior engineers, ensuring architecture and implementations meet enterprise standards.

Strategic AI accelerator

Get complimentary access to Talk To Database, our proprietary accelerator that significantly speeds up development, giving you a clear advantage from day one. Talk To Database is always free, forever—no surprises or hidden fees.

Transformation blueprint

Beyond the PoC or demo, you receive a strategic roadmap that outlines a clear transformation plan to scale AI across your organization.

Investment protection

By identifying model limitations, data gaps, and technical bottlenecks early in the AI Labs phase, we prevent costly failures during full implementation.

Frequently asked questions

Choose your size

Complete the form below. Our team will respond in 24 hours to discuss your needs and next steps.