Past battle · 2026-04-09 UTC
Research Assistants Showdown — April 9, 2026
From the Research Assistants category. 33 marks placed across 8 fighters. Atria by Senso Labs took the crown.
Final standings
The line-up
The fighters
Profiles of every tool that competed in this battle, ranked by their final score.
Atria by Senso Labs
AI assistant for architects that streamlines code compliance, sustainability analysis, and project data.
Atria by Senso Labs is an AI-powered platform built specifically for architects and design teams. It helps practices navigate building codes, evaluate sustainability factors, and surface project-specific data quickly, reducing the manual research that typically slows down early design phases. By centralizing regulatory references, environmental metrics, and project documentation, Atria acts as a knowledgeable assistant throughout the design workflow. Teams can query requirements, check compliance considerations, and gather insights without sifting through scattered documents or external databases. The tool is aimed at firms looking to integrate AI into their architectural practice while maintaining accuracy and traceability in technical decisions.
Criteria breakdown
- Building code compliance support
- Sustainability and performance insights
- Project-specific data retrieval
- AI-driven design research assistant
- Centralized documentation queries
NinjaTech AI
Autonomous AI agents on dedicated virtual machines that complete real work end-to-end.
NinjaTech AI provides autonomous AI agents that operate on their own dedicated virtual computers, allowing them to browse, code, run software, and produce finished deliverables without constant user supervision. Each agent functions like a remote teammate with its own sandboxed environment for executing multi-step tasks. The platform is built for users who want more than a chatbot, focusing on tasks such as research, app prototyping, content production, and workflow automation. Agents can be assigned work, left to run, and checked in on once results are ready. NinjaTech targets professionals, developers, and small teams looking to offload time-consuming projects to AI workers that handle execution rather than just suggestions.
Criteria breakdown
- Dedicated virtual computer per agent
- Autonomous multi-step task execution
- Code generation and deployment
- Web browsing and research capabilities
- Document and content creation
- Asynchronous task delivery
Eliciteer
AI-powered interviews that scale—brief, share a link, get structured insights without meetings.
Eliciteer is an AI-powered tool designed to conduct interviews on behalf of users, aiming to gather qualitative information at scale. It allows users to brief the AI, share a link with participants, and receive structured insights without the need for meetings. The tool is suitable for various applications, including requirements engineering, user research and feedback, HR screening interviews, market research, and enterprise knowledge capture. The process involves three main steps: briefing the AI, sharing the link with participants, and receiving insights. The AI conducts interviews asynchronously, allowing participants to respond at their convenience, and asks follow-up questions to gather more in-depth information. Eliciteer addresses issues associated with traditional methods of gathering qualitative information, such as form and survey fatigue, meeting overload, and the limitations of static forms. It offers features like AI follow-up questions, asynchronous interviews, structured insights, custom briefings, and webhook integrations. The tool provides a free plan with limited features and a Pro plan for $29 per month, which offers more advanced features, including 50 topics per month, unlimited responses, and priority support. Overall, Eliciteer aims to streamline the process of gathering qualitative insights, making it more efficient and cost-effective.
Criteria breakdown
- AI-led conversational interviews
- Custom briefing and question setup
- Shareable participant links
- Automated insight extraction
- Asynchronous, on-demand sessions
- Structured output for analysis
LangWatch
LLM optimization studio for monitoring, evaluating, and improving AI applications in production.
LangWatch is an end-to-end platform designed to help AI and engineering teams build, ship, and maintain reliable LLM-powered applications. It combines observability, evaluation, and optimization workflows in a single studio, making it easier to track model behavior and catch quality issues before they reach users. Teams can monitor live traffic, run automated evaluations against datasets, debug prompts, and iterate on chains or agents with measurable feedback. The platform aims to reduce guesswork in LLM development by surfacing performance metrics, regressions, and cost trends across versions. LangWatch fits into existing stacks through SDKs and integrations, supporting collaboration between developers, prompt engineers, and product stakeholders working on AI features.
Criteria breakdown
- LLM observability and tracing
- Automated evaluation pipelines
- Prompt and dataset management
- Quality and cost analytics
- Optimization tooling for chains and agents
- SDKs for popular LLM frameworks
Evalyze is an AI-powered platform that helps startup founders match with suitable investors and improve their pitch decks for fundraising. It provides instant connections with the right investors based on the startup's stage, sector, and growth. The platform offers pitch deck analysis, giving founders actionable feedback and an Investor Readiness Score to gauge how their deck will be received. Evalyze aims to automate fundraising tasks, allowing founders to focus on closing deals. The platform is used by over 10,500 founders worldwide and offers features such as advanced investor search, AI-powered investor matching, and comprehensive business analysis. Founders have praised Evalyze for its clear and practical insights, efficient investor matching, and helpful feedback in refining their pitch decks and strategy.
Criteria breakdown
- AI pitch deck analysis and scoring
- Investor matching by stage and sector
- Feedback on weak points and gaps
- Curated investor shortlists
- Fundraising readiness insights
Ainisa is an all-in-one AI agent designed to assist businesses across various apps and workflows. It helps answer customer questions, capture leads, book appointments, and facilitate human handover when needed. The AI agent is customizable for different industries, including restaurants, medical and dental clinics, beauty salons, education centers, and consulting services. It integrates with multiple channels such as WhatsApp, Instagram, Facebook, TikTok, Telegram, and websites. Ainisa's capabilities include automating patient inquiries, appointment booking, and FAQs, as well as qualifying leads, recommending services, and booking consultations. The AI agent is available 24/7, reducing staff workload while providing instant support to customers. It also offers a free trial with no credit card required and can be canceled at any time.
Criteria breakdown
- All-in-one AI agent interface
- Cross-app availability
- General-purpose task assistance
- Conversational query handling
- Writing and summarization support
- Research and Q&A capabilities
Otto is an AI-powered automation platform that helps teams collect, structure, and enrich data without writing code. Users set up tables of tasks where each row represents a job and each column is an AI agent assigned to scrape websites, parse documents, run searches, or call APIs. The tool is designed for research-heavy workflows like lead enrichment, market analysis, due diligence, and competitive intelligence. Otto handles browsing, extraction, and summarization in parallel, returning structured outputs that can be exported or pushed into existing systems.
Criteria breakdown
- AI agents organized in a table view
- Web browsing and scraping automation
- Document and PDF data extraction
- Bulk processing across many tasks
- Structured output and exports
- Integration with external data sources
Scholarcy
AI summarizer that turns research papers into structured, skimmable summary cards.
Scholarcy is an online tool that uses AI to break down academic papers, reports, and book chapters into concise summary flashcards. It extracts key claims, findings, study participants, methods, and references, helping researchers, students, and professionals get the gist of long documents in minutes. Users can upload PDFs, paste URLs, or import from cloud storage and reference managers. The summaries can be exported to Word, RTF, or popular note-taking and reference tools, making it easier to build literature reviews and annotated bibliographies. A browser extension and library feature let users save and organize summaries across projects, while figure and table extraction provide quick access to the data underpinning a paper's conclusions.
Criteria breakdown
- AI-generated summary flashcards
- Key figure and table extraction
- Reference list parsing and linking
- Browser extension for one-click summaries
- Export to Word, RTF, and reference managers
- Personal library to organize summaries