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Aimana

Aimana implements AI into existing business processes, working alongside client teams and using the tools they already have, from diagnosis to production in days. The company offers a structured four-step method, including a free 30-minute diagnostic session that produces an opportunity map within three business days. Aimana has applied this approach across industries like insurance, healthcare, and retail, with clients including MetLife, Unimed, and Mondelez.

São Paulo, Brazil · HQ
Founded 2023153K+ followers
Updated 16 days ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Many companies purchase AI licenses or train employees, yet fail to integrate AI into actual workflows, leaving processes unchanged and potential unrealized. The bottleneck is not the technology itself but the implementation, which requires dedicated execution alongside the team.

Solution

Aimana provides hands-on AI implementation services, embedding AI into a company's existing processes and tools, such as Microsoft Copilot, ChatGPT, Claude, or Gemini. The company's method moves from diagnosis to production in days, not months, through a structured four-step process: a free diagnostic "Raio-X" that maps opportunities, leadership alignment and team training, a one-day implementation hackathon where the client's team builds processes, and custom AI solution development for unique needs. Aimana's approach is AI-native, using its own AI agents to accelerate development and ensure the first delivery within 30 days.

Target Audience

Aimana serves mid-size to large enterprises across sectors such as insurance, healthcare, banking, mining, consumer goods, retail, automotive, and technology, targeting companies that have AI licenses but struggle to integrate them into operational workflows.

Features

  • Free 30-minute diagnostic session with an AI specialist, delivering a prioritized opportunity map within three business days
  • Structured four-step implementation method: Raio-X, leadership alignment, team-led implementation hackathon, and custom AI development
  • Implementation within the company's existing AI tools, avoiding new licenses or platform migrations
  • AI-native development process where internal agents assist engineers, enabling rapid custom solution delivery
  • Proven track record across industries including insurance, healthcare, retail, mining, and automotive, with cases like eight processes in production in one day at MetLife
This profile is AI-generated and may contain inaccuracies.