The best new AI research tools, reviewed for June 2026
Research used to mean searching and reading. That's no longer the whole job. The best new AI research tools now run interviews, draft equations, comb the web for hours at a stretch, and turn a mess of notes into a structured argument. This month we tracked a wave of products built for the entire research motion, from finding sources to synthesizing what matters to producing something you'd actually publish. Below are seven that stood out for researchers, analysts, academics, and R&D teams, roughly ordered by how broadly useful they are. For more in this space, you can also browse our AI for research hub.
Gemini Deep Research Agent
Google DeepMind's Gemini Deep Research Agent is an autonomous research agent, now exposed as an API, that runs exhaustive, long-horizon research workflows across the web and your own data. Instead of a single prompt and answer, it plans a line of inquiry, fans out across sources, and assembles a cited synthesis. The notable shift is that deep research has graduated from a chatbot feature into programmable infrastructure. Teams can wire it into their own pipelines now instead of copy-pasting out of a chat window. It's the heavyweight on this list, and that API surface is exactly what makes it interesting if you're building research into a product.
Askiva AI
Askiva AI automates user research interviews from end to end: scheduling, outreach, AI-moderated Zoom sessions, transcription, and insight summaries. For UX and product researchers, the bottleneck was never the questions. It was the human hours spent running and tagging interviews. AI moderation has finally gotten good enough to hold a coherent, adaptive conversation, so the part of qualitative research that never scaled now does. It's a real time-saver for discovery work, though you'll still want a human eye on the synthesis before it reaches stakeholders. Product teams pairing this with the broader AI tools for product managers will recognize the workflow.
Mira Voice
Mira Voice is an AI-powered phone survey platform that conducts automated voice interviews at scale across 14 languages. Where Askiva targets deep one-on-one UX sessions, Mira Voice is built for volume. Think market researchers and field teams who need hundreds of structured phone conversations, including in markets where written surveys fall flat. Multilingual voice models have closed the gap on natural phone conversation, which opens up populations that online panels never reach. If your research has historically leaned on costly call-center labor, this is a strong fit.
Arky
Arky is a visual workspace for gathering, structuring, and publishing ideas on an AI-powered spatial canvas. It lives at the synthesis stage, the moment when you've got a pile of sources and need to find the shape of the argument. The canvas lets you cluster and connect findings visually, then lean on AI to draft the through-line. Knowledge work tends to drown in captured material, and linear documents are a lousy place to think through it. A canvas with an AI co-pilot fits the messy, exploratory middle far better. That murky stretch between collecting research and writing it up is exactly where Arky wants to live.
Corca
Corca is a collaborative math editor that lets anyone write and share equations intuitively, with real-time collaboration and one-click LaTeX export. No syntax memorization required. For technical researchers, LaTeX is both indispensable and a genuine barrier to collaboration, especially with co-authors who don't live in it. Research increasingly happens across mixed teams, and the friction of mathematical notation slows down precisely the people who need to move fast. It's a small, sharp tool that removes a very real piece of grit from technical writing and review.
Albert
Albert is an AI-powered operating system for chemists that combines structured R&D data with chemistry-specific models to accelerate discovery. It's the most domain-specific tool here, built for lab-based R&D teams who need their experimental data, models, and workflows in one place instead of scattered across spreadsheets and notebooks. Generic LLMs don't understand chemistry, and the teams with the most to gain from AI are often the ones whose data has been hardest to structure. Albert is a good example of where vertical, data-grounded platforms beat general-purpose chat for specialist R&D work.
Crin AI
Crin AI is a free interactive visual platform that teaches AI and machine learning concepts through animated, real-time, node-based diagrams. A lot of research starts with getting up to speed on an unfamiliar method, and dense papers are a slow way to build intuition. Crin AI turns abstract ML concepts into something you can watch move and poke at. As AI methods spread into every field, plenty of researchers need a working mental model of techniques they'll never implement from scratch. It's a genuinely useful onboarding tool for analysts and academics trying to understand the AI showing up in their own field.
Frequently asked questions
What are AI research tools?
AI research tools are software that uses AI to help with the actual work of research: finding and reading sources, running interviews or surveys, synthesizing findings, and producing write-ups. They span deep-research agents, document and literature analysis, user research automation, knowledge synthesis canvases, and domain-specific R&D platforms. They're distinct from the best AI tools for data and analytics, which focus on structured data, SQL, and dashboards rather than the knowledge-work motion.
What is an AI deep research agent?
A deep research agent is an AI system that plans and executes a multi-step research task on its own, rather than answering a single question. It breaks a question into sub-queries, searches across the web and connected data sources, reads and cross-references what it finds, then returns a synthesized, cited report. Tools like the Gemini Deep Research Agent now offer this as an API, so teams can build long-horizon research directly into their own workflows.
Can AI run user research interviews?
Yes. Tools like Askiva AI handle the full interview loop, from scheduling and outreach through AI-moderated video sessions, transcription, and insight summaries, while platforms like Mira Voice run automated voice surveys at scale across many languages. AI moderation can hold an adaptive conversation and tag responses, which removes the most time-consuming part of qualitative research. Most teams still keep a human in the loop to review the synthesis before it informs decisions.
Are these AI research tools free?
It varies. Some, like Crin AI, are free interactive tools, and Corca offers free collaborative editing. Others, including the Gemini Deep Research Agent API, Albert's R&D platform, and the user research tools, are commercial products with usage-based or subscription pricing. Most offer a free trial or tier, so the practical move is to test one against a real research task before you commit.
The bottom line
The pattern across this month's crop is clear: AI is moving from helping you read research to running the research itself. Agents that investigate for hours, platforms that conduct your interviews, canvases that draft the synthesis. The smartest play is to pick the one tool that attacks your biggest bottleneck, whether that's source-gathering, fieldwork, or write-up, and let it earn its place before you add more. For the rest of our coverage, browse the full Radar index, and check back next month as we keep tracking the best new AI research tools.