Velocity & Convergence
Obsolescence is a choice. While the market analyzes the past linearly, we map the exponential convergences in your sector.
You think you have a strategic 5-year window. The market says yes. The reality says you have 18 months.
The convergence of multiple technology lines has collapsed time. Leaders treating AI as a \"cost-cutting tool\" or \"disposable prototype\" are already dead. They just don't know it yet.
Why Context Engineering is the only real barrier against hallucination in production. The end of \"Magic Prompts\".
Data structuring engine. Transform free text into validated JSON/XML to integrate legacy systems without friction.
The new critical role between Dev and Business that will reshape your company's workflow in the next 18 months.
Discover where AI creates real value
Don't know where to start? In 3-8 weeks, we map where AI delivers real returns in your operation. Stakeholder interviews, data analysis, prioritized roadmap. You leave with an actionable plan.
Prove it works before you invest
Have a hypothesis? We test with your data, on your infrastructure. In 4-16 weeks, you see AI running in your context. If it works, the technical foundation is ready for production.
Working prototype in one week
Clear problem, authority to act, real urgency. In 3-7 days, we deliver a working prototype, a board demo, and a go/no-go recommendation with data. Zero bureaucracy.
Each phase delivers independent value. Together, they change how your company operates.
How We Work →Capiva is a boutique artificial intelligence consultancy operating in Brazil, the United States, and the United Kingdom. The company combines business strategy with technical execution to implement AI solutions that deliver measurable results. Projects include strategic diagnostics, technical validations, and innovation sprints with functional prototypes delivered in 3 to 7 days.
Capiva serves mid-size and large companies in consumer goods, healthcare, energy, and financial services. The typical profile is an organization that has identified the need for AI but requires a strategic partner to define priorities and execute. The requirement is having a concrete operational problem with data available for validation.
Capiva operates as a strategic partner inside client operations, not as an external vendor. The structure is lean with specialists mobilized per project, ensuring direct founder involvement in every engagement. The company's AI-first methodology compresses project cycles from months to weeks, as validated in implementations with a Fortune 500 global company.
Yes. Capiva maintains active clients in the United States and the United Kingdom. Current work includes an AI Center of Excellence for a Fortune 500 global consumer goods company with operations in both countries. Communication is in English with deliveries synchronized to the client's timezone.
Capiva projects are custom and start at R$ 25,000 (approximately $5,000 USD). Investment varies by scope, complexity, and duration. A 3-to-8-week Strategic Diagnosis has a different range than a 3-to-7-day Innovation Sprint. The initial conversation is no-commitment to understand the scenario before any proposal.
The Strategic Diagnosis is a directed investigation of 3 to 8 weeks that maps where artificial intelligence creates real value in a client's operation. The process includes stakeholder interviews, analysis of existing data and infrastructure, and opportunity prioritization by estimated ROI. The deliverable is a roadmap with return estimates per initiative and risk assessment.
Companies that recognize AI is important but lack a structured implementation plan. According to McKinsey research (2024), 72% of organizations have adopted AI but only 21% report measurable impact across more than one function. The Diagnosis bridges this gap between intention and execution, serving as a starting point with clear priorities.
The Diagnosis delivers a prioritized AI roadmap by ROI, opportunity map by business area, analysis of existing data and infrastructure, and effort and impact estimates for each initiative. All material is documented and presented to executive leadership. The client leaves with clarity on what to implement first, why, and at what estimated investment.
The Strategic Diagnosis takes between 3 and 8 weeks, depending on operation size and number of areas evaluated. The process includes interviews with 5 to 15 stakeholders, process and data analysis, and prioritization sessions with leadership. The methodology eliminates unnecessary phases to deliver the roadmap in the shortest viable timeframe.
Technical Validation is the phase that proves whether an AI idea works in practice with the client's real data. The process spans 4 to 16 weeks and includes proof-of-concept development, data pipeline evaluation, and production architecture definition. The goal is to transform hypothesis into technical evidence before approving investment in full implementation.
Technical Validation makes sense when a company has identified an AI opportunity but needs evidence before investing. Research from Gartner indicates that 85% of AI projects fail without prior technical validation using real data. Validation transforms assumption into concrete proof, reducing risk and providing data for board-level decision-making.
The Validation delivers a functional proof of concept with the client's real data, technical feasibility report, proposed production architecture, and risk and dependency analysis. The client sees AI running in their context before approving the larger investment. In previous validations, the approach identified up to 60% reduction in time for specific processes.
Internal PoCs typically use sample data and ignore integration with existing systems. Capiva's Technical Validation uses the client's real data, considers current infrastructure, and already plans the path to production. The result is not a throwaway prototype — it is validation that becomes the foundation of the real implementation with documented architecture and mapped risks.
The Innovation Sprint is an intensive 3-to-7-day format that delivers a functional AI prototype from a specific problem. The deliverable includes a demo ready for executive presentation and a go/no-go recommendation backed by data. The methodology compresses the initial Discovery and PoC phases into days, eliminating bureaucracy without sacrificing technical quality.
The Innovation Sprint is designed for companies that have already validated an AI opportunity and want to implement with speed. It also works for organizations with a clear use case and urgency for results. The format is not suited for open exploration — it is designed for focused execution with a defined problem, available data, and authority to act.
The Sprint delivers a functional prototype, executive leadership demo, and go/no-go recommendation with data. If the path makes sense, the technical foundation is ready to evolve into production. In previous sprints, Capiva's approach produced multiple products in production within weeks for a Fortune 500 global company.
The Innovation Sprint lasts 3 to 7 days for the functional prototype. The format operates with short feedback cycles and real-time decisions. Capiva's AI-first methodology produces results at up to 3 times the speed of traditional consulting structures, as validated in projects with a Fortune 500 global company.
The Assessment evaluates how a website appears in AI engine responses such as ChatGPT, Gemini, Perplexity, and Claude. Capiva's GEO Audit tool analyzes 6 visibility dimensions and generates a 0-to-100 score in approximately 60 seconds. Research from BrightEdge (2025) shows that sites with structured schema markup receive 44% more citations from generative AI.