Compare Obviously AI with top alternatives in the research agents category. Find detailed side-by-side comparisons to help you choose the best tool for your needs.
These tools are commonly compared with Obviously AI and offer similar functionality.
Sales & Marketing Agents
AI-powered sales engagement platform that combines autonomous prospecting agents, multi-channel sequencing, a power dialer, and data enrichment in a single platform to replace multiple sales tools.
Automation & Workflows
All-in-one sales intelligence platform with 275M+ verified contacts, email sequences, built-in dialer, CRM, and AI-powered outreach automation for B2B sales teams.
Other tools in the research agents category that you might want to compare with Obviously AI.
Research Agents
Legal AI app for contract drafting, legal research, comparing, translating, and summarizing agreements.
Research Agents
AI-powered visual tool for exploring academic paper relationships through interactive citation network graphs, helping researchers discover relevant literature and accelerate research discovery.
Research Agents
Revolutionary AI research engine that cuts through conflicting studies to find what science actually agrees on. Get evidence-based answers from 200+ million peer-reviewed papers with confidence scores.
Research Agents
AI research assistant specialized in academic literature review and scientific paper analysis. Automates systematic research workflows.
Research Agents
AI-powered graphical abstract generator that transforms research papers into visually compelling publication-ready graphics for academic journals and conferences.
Research Agents
Enterprise AI platform built specifically for in-house legal teams to draft contracts, review documents, and conduct legal research with SOC 2-certified security and zero data retention policies.
💡 Pro tip: Most tools offer free trials or free tiers. Test 2-3 options side-by-side to see which fits your workflow best.
Obviously AI has rebranded and evolved into Zams. While Obviously AI originally focused on no-code machine learning model building and predictive analytics, Zams has pivoted to a fundamentally different product — purpose-built AI workers for revenue teams. The platform now focuses on automating sales tasks like meeting preparation, CRM management, and account monitoring rather than general-purpose ML model creation. Existing Obviously AI users should be aware this is essentially a new product direction.
As of now, Zams offers three AI workers in its early access program: Evan for meeting intelligence and pre-call research, Atlas for automated CRM management and data hygiene, and Nico for continuous account monitoring and stakeholder tracking. Three additional workers are listed as coming soon: Nova for lookalike account discovery based on sales call analysis, Iris for LinkedIn network pipeline intelligence, and custom AI workers built by Zams experts for your specific workflows.
Zams connects securely to your existing tech stack including CRMs, call recording platforms, email, calendars, Slack, and other sales tools. The integration process is designed to require no migration or complex setup — you simply authorize your apps and the AI workers begin operating autonomously. For organizations with unique systems, Zams offers custom AI worker development where their team integrates directly with your specific data sources and tools.
Evan automates deep research across both internal and external data sources for every upcoming meeting on your calendar. It compiles prospect intelligence, talking points, competitive battle cards, and suggested next steps, then delivers this briefing directly to the sales rep via Slack or email before each call. The goal is to give every rep the same level of preparation that top-performing reps achieve, ensuring no one walks into a meeting without context on the lead or account.
Zams appears to target sales teams of various sizes, with its early access model suggesting accessibility for smaller teams. The platform's no-setup approach and integration with common sales tools like Slack and standard CRMs make it feasible for small teams. However, the custom AI worker offering and the emphasis on organization-wide deployment suggest the platform is also designed to scale for larger revenue organizations with more complex workflows and multiple integrated systems.
Compare features, test the interface, and see if it fits your workflow.