Research · Products · Interactive worlds

Intelligence learns by exploring.

Explore AI is a research and product company building adaptive agents, evidence-led systems, efficient models, and interactive worlds. Discovery makes financial thesis review inspectable. OnlineNIW turns complex careers into source-linked evidence records for counsel review. Photon47 turns consequence into a playable world.

Building from curiosity toward capable action

The Explore AI learning trajectory A wide path connects observe, model, act, and learn across an open research field. Observe Model Act Learn
Open systemsEvidence in motionContinuous adaptation
01 What we build

From understanding a world to changing it.

Useful intelligence needs more than a good answer. It must notice what matters, form workable models, choose actions, and improve through experience.

Agentic learning

Systems that explore unfamiliar environments, build memory, pursue goals, and revise plans when the world pushes back.

Efficient intelligence

Model compression, routing, and learning methods designed to make capable systems faster, smaller, and more practical.

AI for science

Multimodal and biological foundation models that help organize evidence, reason across scales, and support discovery.

Interactive worlds

Games and simulations where agents—and people—can test decisions, cooperate, compete, and learn through consequence.

Skip visual journey

Procedural 3DPreparing cities + Earth…

Detailed interpretive reconstruction. Landmark meshes are procedurally modeled from public architectural references, but are not survey-accurate digital twins. Earth geometry uses public-domain Natural Earth coastlines. The named cities are narrative waypoints; they do not represent company offices or a corporate chronology. Product panels do not depict live data.

Shanghai · Irvine · San Jose · San Francisco

Ideas travel. Evidence compounds.

Scroll through filled, shaded procedural models of Shanghai, Irvine, San Jose, and San Francisco—waterfronts, terrain, civic space, bridge structure, and recognizable buildings—then pull back to a Pacific-centered Earth built from real Natural Earth geography. On supported desktops, pointer movement shifts the view; every chapter remains readable and operable without motion.

  1. 01 Shanghai · Observe

    Read the system before changing it.

    The camera enters beside a river and moves between a dense skyline of Pearl-inspired silhouettes. Interacting scales introduce the first discipline of useful intelligence: notice structure, motion, and constraint before reaching for an answer.

    31.2304° N · 121.4737° E

    Landscape
    Huangpu · Bund · Lujiazui
    Geometry
    Lofts · lattices · glass shells
    Reference scale
    632 m → 421 m
    Select a building to inspect its procedural construction.
  2. 02 Irvine · Frame

    Give difficult questions room.

    The street-level route opens into landscape and radial campus geometry, shifting the view from density to deliberate inquiry: define the question, preserve uncertainty, and make the route to an answer inspectable.

    33.6846° N · 117.8265° W

    Landscape
    Park bowl · palms · low hills
    Geometry
    Canopy · rigging · wheel truss
    Urban grain
    Planned · green · low-rise
    Select a landmark to inspect its procedural construction.
  3. 03 San Jose · Build

    Turn research into working systems.

    The view drops between civic curves, compact towers, and a precise street grid for the engineering step: reduce friction, respect constraints, and make capability dependable enough to use.

    37.3382° N · 121.8863° W

    Landscape
    Guadalupe · plaza · foothills
    Geometry
    Rotunda · dome ribs · truss
    Civic scale
    Arcade → 18-story tower
    Select a landmark to inspect its procedural construction.
  4. 04 San Francisco · Engage

    Bring ideas to the edge of consequence.

    The last street passage climbs through hills toward bridge and vertical skyline forms—a meeting point for product craft, capital, and public responsibility. The question becomes not only what can work, but what should earn trust.

    37.7749° N · 122.4194° W

    Landscape
    Bay · piers · peninsula hills
    Geometry
    Catenary · deck truss · taper
    Vertical range
    235 ft → 1,070 ft
    Select a landmark to inspect its procedural construction.
  5. 05 Discovery · Evidence to practice

    Make every market decision inspectable.

    Discovery connects source-linked evidence, an interactive candle-and-volume lab, an editable deterministic strategy graph, bounded search, foreground signal receipts, and future-blind trader training. The immediate price path is a labeled offline fixture; protected market data and private services remain deployment-gated.

    Inspectable market workflow

    1. Evidence
    2. Chart
    3. Graph
    4. Practice
    Evidence → test → practice. The diagram is conceptual—not market data or a performance claim.
  6. 06 OnlineNIW · Record

    Make a complex career reviewable.

    OnlineNIW helps researchers, technical founders, and senior professionals organize a source-linked claim-to-exhibit record with contradiction checks and human review gates. Operated by Explore AI Inc., it is not a law firm and does not provide legal advice or guaranteed outcomes.

    Evidence architecture

    Claim 01Exhibit AClaim 02Exhibits B–DBoundaryCounsel review
    Synthetic interface diagram. Client, recommender, and counsel review remain distinct.
  7. 07 Photon47 · Act

    Make consequence visible through play.

    Photon47 turns a connected biological universe into a playable space where regions, roles, movement, combat, and feedback make consequence visible. It is an interactive creative work, not a scientific simulation.

    Connected world atlas

    Each region changes the rules, roles, and consequences.
  8. 08 Earth · Learn

    Pull back. See one spherical world.

    After the four street-level passages, the camera rises beyond the skyline and resolves the journey on a true spherical map. Natural Earth coastlines, country boundaries, lakes, and latitude/longitude-positioned city markers replace the old invented connection network; our agents likewise gather evidence, test revisable hypotheses, and change plans when outcomes break expectations.

    Street to orbit · four exact waypoints

    1. ShanghaiObserve
    2. IrvineFrame
    3. San JoseBuild
    4. San FranciscoEngage
    Annotated waypoints become process: observe, model, act, learn, repeat.
02 Research landscape

Ideas become useful where fields connect.

Navigate the questions, systems, evidence, and worlds that shape our work. Every node opens a concise case-study page; hover or focus to preview its role in the larger field.

Six precision research instruments connected by one copper-to-cyan beam, representing observation, memory, exploration, evidence, simulation, and efficient systems.
  1. 01Observe
  2. 02Remember
  3. 03Explore
  4. 04Test
  5. 05Simulate
  6. 06Scale
One connected field: from observation to systems that can be tested, revised, and used.
  1. 01 · AI for scienceObserve across biological scales.Microscopy → representation
  2. 02 · Adaptive agentsRemember what changes the decision.Evidence → revisable memory
  3. 03 · Adaptive agentsExplore before the world is known.Uncertainty → useful action
  4. 04 · EvidenceTest what a result can support.Method → bounded claim
  5. 05 · Interactive worldsMake consequence playable.Simulation → behavioral trace
  6. 06 · Efficient systemsScale capability with discipline.Constraint → deployment

Showing all 6 connected directions.

Conceptual research map—not measured data, a product roadmap, or a claim that every path is solved.

03 How we think

Learning is a trajectory, not a snapshot.

We design for the whole loop: perception, world modeling, purposeful action, and evidence-led adaptation.

  1. 01 · Observe

    Attend to the world.

    Ground decisions in multimodal evidence, interaction history, and the parts of an environment that can actually change an outcome.

  2. 02 · Model

    Make uncertainty legible.

    Build compact representations of state, cause, and possibility—then expose where those representations are incomplete.

  3. 03 · Act

    Choose with purpose.

    Translate reasoning into measurable interventions. Good plans should survive contact with dynamic environments, limited resources, and other agents.

  4. 04 · Learn

    Let evidence change the system.

    Use outcomes—not confidence alone—to update memory, policy, and the questions the system asks next.

04 Evidence

Measure progress without mistaking a metric for the mission.

Benchmarks can reveal capabilities and failure modes. We report them with context and keep the larger question open.

ARC‑AGI‑3 · Kaggle public score

25.7+

At our October 5 snapshot, our ARC‑AGI‑3 entry ranked 618th of 3,800 teams on Kaggle’s public leaderboard.

That 25.7+ public score is provisional while the competition runs. It is not a final private score, final placement, or awarded medal—and it is not evidence that a system has achieved artificial general intelligence.

05 Products

Make complex systems inspectable.

Our products make reasoning, evidence, and consequence visible—so people can examine a decision process or learn a world through action.

Market research + trader training · public workflow available

Discovery

Move from source-linked evidence to chart inspection, an editable strategy graph, bounded parameter search, foreground signal receipts, and future-blind decision practice. The immediate public lab is deterministic and clearly labeled; the 3:32 walkthrough shows the complete workflow before you open it yourself.

4 × 660Offline fictional instruments × daily OHLCV rows
25Executable deterministic strategy block types
6Untimed + five timed trader-training paces
03:32QA-backed public product walkthrough

Available now Offline market lab, source-linked NVIDIA case, editable deterministic DAG, bounded browser search, foreground signals, future-blind trainer, and product tour. Deployment-gated Authenticated Alpaca U.S. history, server trainer/history, private model briefs, and paid enrollment. Not live Global-market coverage, background alerts, broker execution, and model training.

Decision boundary Historical and general informational research only. No personalized investment or trade advice, price target, trade execution, position-size output, or performance promise. Discovery supports review; it does not replace a person’s judgment or a regulated professional.

Discovery market workspace showing a simulated candlestick chart with volume, RSI, prominent hypothetical BUY and SELL markers, and a chart-linked strategy receipt.
Recorded public product walkthroughSee the workflow before opening the lab.
  • Evidence
  • Candles + volume
  • Strategy graph
  • Search + signals
  • Future-blind training

Deterministic offline fixtures · hypothetical fills · no brokerage execution

Evidence architecture · human review by design

OnlineNIW

Turn a complex research, technical, or leadership career into a source-linked factual record that counsel can inspect. OnlineNIW connects each material claim to its exhibits, flags contradictions, and keeps reviewer responsibility explicit.

  • 01Signal scanFind the claims the record can actually support.
  • 02Evidence buildMap every material statement to a source.
  • 03Boundary reviewSeparate factual, client, recommender, and counsel decisions.

Clear boundary OnlineNIW is operated by Explore AI Inc., not a law firm. It does not provide legal advice or representation, decide eligibility, or guarantee any immigration outcome. Public examples are synthetic.

Synthetic dossierReview state · 04
Proposed endeavorClaim architectureSource-linked
  1. 01Original contributionEvidence inventory · provenance attached6 exhibits
  2. 02Field significanceIndependent signals · contradiction checked4 exhibits
  3. 03Prospective impactFactual record · counsel review requiredReview gate
ClaimSourceHuman review

Explore AI presents

Photon47

Travel through Gut, Neuro, Spore, Bone, Gene, and Liminal Loop, then cross the Heart finale. Meet an unruly molecular cast and see how the same heroes transform across story, arena, strategy, and action modes.

Photon47 connected world map Seven colorful biological destinations connect through a bright central Heart portal. Gut Neuro Spore Bone Gene Loop Heart
06 Principles

Ambition needs a working discipline.

Evidence before assertion

We separate measured outcomes from interpretation, describe limitations, and revise public claims when the evidence changes.

Build to learn

Products, prototypes, and interactive environments make abstract research questions concrete enough to test.

Efficiency matters

Capability is more useful when it can run with less computation, lower latency, and wider access.

Make complexity legible

Interfaces should help people understand what a system knows, what it is trying, and where uncertainty remains.

Preserve human agency

We want adaptive systems to extend human judgment and creativity—not quietly erase meaningful choice.

07 Company

Built across disciplines, focused on what comes next.

Our work is informed by experience in production cloud systems, deep-learning infrastructure, multimodal reasoning, autonomous agents, and AI for science.

Explore AI Inc. was founded in 2026 to connect long-horizon research with things people can use, question, and experience.

Meet the founding team

Work with us

Where should intelligence explore next?

Explore careers, begin an investor conversation, or contact us about research, engineering, and collaborations at the edge of reasoning and action.