Unify AI is a workspace-based platform for building and running AI agents across your team. Instead of charging per seat, it uses a shared credit pool so everyone can collaborate without extra fees. The platform caches context across runs and reuses intermediate results, cutting the cost of recurring workflows over time. It's built for teams that need predictable AI spend tied to actual work done, not headcount.

• Workspace-Based Access: Invite unlimited team members to one shared workspace with no per-seat charges, so collaboration scales without inflating your bill.
• Credit-Based Pricing: Pay for actual model usage through a shared credit pool, tying costs directly to the work your team completes.
• Context Caching: The platform caches context across runs so recurring workflows get cheaper over time, sometimes 10x less by the third month.
• Intermediate Result Reuse: Previous outputs are stored and reused when possible, reducing redundant model calls and speeding up repeated tasks.
• Team Collaboration: Multiple users share the same workspace, agents, and history without needing separate accounts or licenses.
• Free Starter Tier: Begin without payment to test workflows before committing to a paid credit volume.
• Enterprise Option: Custom plans available for larger organizations with specific compliance or volume needs.

• No Per-Seat Fees: Add your whole team without watching your bill grow with each new hire or collaborator.
• Costs Drop Over Time: Cached context and reused results make repeated workflows significantly cheaper the longer you use them.
• Transparent Usage Model: Credits track actual model consumption, so you can see exactly what you're paying for.
• Free Tier Available: Try the platform before spending anything to validate fit for your use case.

• Usage Can Vary: Credit consumption depends on task complexity, so teams running many large workflows may need more credits than expected.
• Credit-Based Billing: Understanding how different tasks consume credits can take some time, especially when estimating usage for new workflows.

• Team AI Research Workflows: Give your research team shared access to AI agents that build on prior queries. Cached context means follow-up questions cost far less than starting fresh each time.
• Recurring Report Generation: Automate weekly or monthly reports where the same data sources and prompts get reused. Credit reuse makes ongoing reporting affordable at scale.
• Collaborative Prompt Development: Let multiple team members iterate on the same agents and prompts in one workspace. No need to buy extra seats as your team grows.
• Cost-Controlled AI Experimentation: Start on the free tier to prototype agent workflows, then upgrade to a credit volume that matches actual usage patterns.
• Small Team AI Operations: Fit AI agents into a small business budget by paying only for work done, not for empty seats or unused licenses.