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Writer
✓ verifiedFree trial
Enterprise AI platform where marketing, sales, and support teams build governed AI agents on Writer's own Palmyra models.
282K visits/mo
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Abacus.AI
✓ verifiedPaid
AI super-assistant plus enterprise ML platform: ChatLLM for teams and end-to-end model building for enterprises; broad, pricing not shown.
4.3M visits/mo
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Dust
✓ verifiedFree
AI assistant for teams with secure LLM and company-knowledge access.
692K visits/mo
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Kiro AI
✓ verifiedFreemium
Kiro is a spec-driven agentic coding tool for IDE, CLI and web that turns prompts into specs and catches bugs with property-based tests.
3.8M visits/mo
Pricing
No public pricing
Free trial available
No public pricing
No public pricing
Free: $0/mo (50 credits)
Pro: $20/user/mo (1,000 credits)
Pro+: $40/user/mo (2,000 credits)
Pro Max: $100/user/mo (5,000 credits)
Power: $200/user/mo (10,000 credits)
Core features
- ✦WRITER Agent for delegating end-to-end tasks in natural language
- ✦Agent Playbooks for repeatable, on-brand workflows
- ✦AI Studio for building custom agents on company data
- ✦Knowledge Graph for grounding agents in company-specific context
- ✦Palmyra proprietary LLMs built for regulated enterprises
- ✦Enterprise security, identity, and compliance controls for IT
- ✦ChatLLM access to multiple top AI models
- ✦AI agents and automation
- ✦No-code full-stack app creation
- ✦Enterprise generative AI platform
- ✦Structured ML model building
- ✦Optimization and forecasting
- ✦Unified and safe access to GPT-4
- ✦Connection to team's data for up-to-date answers
- ✦Customizable AI agent building without code
- ✦Team collaboration features for sharing prompts and conversations
- ✦Suggestions for documentation updates and improvements
- ✦Spec-driven development (requirements, design, tasks)
- ✦Parallel agents, local or cloud
- ✦Property-based and correctness testing
- ✦Works in IDE, CLI, web and mobile
- ✦Multiple models (Claude, open-weight, Auto)
- ✦Headless CLI for CI/CD
- ✦Context from tools like Figma and Terraform
Use cases
- →Automating on-brand marketing content production at scale
- →Handling inbound customer support responses with AI agents
- →Building custom AI agents connected to a company's internal systems
- →Enforcing brand voice and terminology consistency across teams
- →Deploying AI under enterprise security and compliance requirements
- →Chat with many AI models in one place
- →Build and deploy ML models
- →Automate tasks with AI agents
- →RevOps & Sales: Create customer profiles, flag at-risk deals, analyze calls, generate SQL.
- →PMM & Marketing: Write on-brand content, create consistent messaging, translate content, extract insights.
- →Customer Support: Connect to knowledge base, identify product improvements, auto-create FAQs, provide real-time guidance.
- →Product & Design: Improve product copy, analyze customer sentiment, extract competitor insights, generate user stories.
- →Engineering: Review code, auto-create docs, compile incident timelines, generate SQL.
- →Data & Analytics: Enable non-technical teams to query data, automate reporting, transform insights, connect data sources.
- →Turning prompts into maintainable, spec-matched code
- →Catching bugs unit tests miss
- →Reviewing PRs and fixing bugs in CI/CD
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