ExplorexSummer 2020Active☆Watch⊞Compare

Explorex is one of 567 Food & Beverage companies tracked from Bengaluru, KA, India, on record since 2020. By capital raised it ranks in the long tail (ahead of 34% of sector peers), and in the long tail by modeled valuation est..

Ranking is computed against this company's own sector cohort — reported capital is fact; valuation tiers are modeled.

AI analyst read est. — model-extracted from this company's public description, not a verified fact. 30%

operates a technology-led product inferred from public copy

Grounded in: “You are a venture analyst”

Ecosystem Platform for Restaurants in India

Explorex is building the operating system for dining — powering both restaurants and the end consumer experience through a tightly integrated ecosystem. While most companies in the space focus on software for restaurants or discovery for diners, Explorex connects both sides of the equation. Our platform combines a full-stack restaurant OS (Bridge) with a consumer layer (Elite), enabling seamless, real-time dining experiences — from discovering a place, to ordering, to paying, all without friction. At the core of this is Elite — our consumer app that is redefining how people dine out. Diners can see live table availability, access dynamic menus, place orders, and self-checkout instantly without waiting for staff. This removes the biggest friction in dining — interruptions — and turns going out into a smooth, uninterrupted experience. What makes Explorex fundamentally different is the data layer. Unlike delivery platforms that only see orders, we capture real-world, in-venue behavior — what people order, how long they stay, how groups behave, how menus perform, and how experiences impact spending. We are now building Elara, an AI-powered dining concierge that uses this data to guide users to the best possible experience in real time — factoring in intent, context, weather, vibe, availability, and historical behavior. This allows us to move beyond discovery into decision-making, becoming the intelligence layer for offline commerce. For restaurants, this translates into higher revenue through better table utilization, increased average order value, and direct access to high-intent consumers. For diners, it means a faster, more personalized, and significantly better dining experience. Explorex is not a SaaS tool — it is the infrastructure layer for offline dining, with AI and consumer experience at its core.

As reported in public records reported — not modeled.

Solid bars are reported offering amounts reported; hatched bars are the modeled post-money valuation est. — both on one shared scale so you can read raise-vs-worth at each round directly. Use the toggles to overlay data labels and the niche-peer / market average value lines.

No round amounts on record to chart.

No staged rounds to sequence.

Round size and date are reported; the stage label is inferred from round size. Valuation is modeled from stage benchmarks. Directional, not a quoted figure.

Not enough modeled valuation points to chart a trajectory.

Benchmarked against 567 companies in Food & Beverage. Each bar is a median (the middle company, not an average — outliers don't skew it). Two yardsticks: real money raised (reported on Form D) and modeled value (our estimate est.). These are whole-sector medians across all stages, except the per-stage row.

Raised more than 34% of sector peers (real $). Modeled value above 34% of peers (estimate).

Stage is inferred from round size est., not reported on the filing — a round's dollar size maps to a bucket: Pre-Seed <$1.0M · Seed $1.0M–$4.0M · Series A $4.0M–$15M · Series B $15M–$40M · Series C $40M–$100M · Series D+ $100M–$400M · Growth/Late >$400M.

Predictive signals are modeled est. from this company's own cadence and step-up, plus sector benchmarks — directional, not advice. Peer set and a CSV export live in your analyst workspace.

Explorex is an official record sourced from the U.S. Securities and Exchange Commission (SEC). U.S. data is aggregated from SEC Form D filings.

Nearest neighbours across the whole database — matched on sector, stage and capital scale, and on shared operators (officers or directors named at both companies in public filings). A discovery shortlist, not a valuation cohort — verify before acting, the same way modeled figures are directional.

Matched by meaning, not labels — a local language model reads each company's name, sector and description and ranks the closest in that learned space. This catches look-alikes that cross sector boundaries; the structured list above explains its matches, this one trusts the text. Directional, like every modeled signal here.

See where Explorex sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.

If you work at Explorex, claim this profile or suggest a correction. We aggregate from public filings, so help us keep your description, website and links accurate.