Swa launches multi-agent generative AI orchestration solution for enterprise businesses

With its business launch today, Swa Technology Inc. is betting on a brand new idea: harnessing the outputs of artificial intelligence agents from multiple AI model providers through one gateway that automates and orchestrates work.

The corporate said it designed a “foundational tool” that companies can use to check the outputs from leading models — including ChatGPT, Claude, Perplexity, Grok and more — to check or add them into workflows. Users also can use outputs to validate and consolidate answers.

The corporate’s team and advisor network features a dozen Nike Inc. alumni who helped lead digital transformation efforts at the worldwide company. Swa’s mission is to supply a stable, adaptable platform. It goals to integrate the most effective tools and models for AI accuracy, resiliency and security.

“AI should feel like a utility, accessible to everyone, cost-effective, and secure,” said founder and Chief Executive Mike Sirchuk. “Swa gives businesses an easy solution to roll out AI across the organization without forcing employees right into a single model and without sacrificing the controls that security and IT teams need.”

From an operational viewpoint, the platform opens up support for cross-model workflows, meaning that employees can construct AI agents that start with Anthropic PBC’s Claude to orchestrate task generation, then outsources its research and curation to OpenAI Group PBC’s ChatGPT for review, and finalize swith Codex for code generation or Google LLC’s Gemini for reports.

The corporate said it designed the platform to support the needs of all employees, from knowledge employees involved in adopting AI to veteran engineers. This includes security and knowledge technology teams looking to cut back using shadow AI across their company, while controlling model access, data exposure and usage.

Finance teams also gain predictability through usage-based pricing to cut back per-seat waste and simplify vendor management.

The assistant could be accessed via quite a few channels, including Slack, Microsoft Teams, WhatsApp and SMS — in public, private groups and direct messages. Swa says which means it might probably go in all places employees can, providing them support and knowledge.

Employees can construct agents inside any interface, using @swa to summon the assistant after which tell it what sort of agent they need. After just a few details, it’s going to generate an AI agent fitting their needs. This might include a customer support assistant for policy-aligned responses to customer inquiries, a marketing copywriter, a research analyst or a conversational concierge. Each agent could be assigned to a specific model provider and given a reputation and a selected role.

Agents may also be placed on “autopilot,” meaning they may run mechanically at a certain time to execute a task without asking.

Image: SiliconANGLE/Microsoft Designer