Companies · Food & Beverage

TenyksSummer 2021Active

Cambridge · England, United Kingdom; Remote · Food & Beverage · founded 2021 · http://tenyks.ai/

Diligence memoA one-page analyst read on Tenyks — recommendation, valuation, rhythm, risks.
Total raised · real
0
Rounds
Latest step-up
Top 67%
Sector rank · raised
Latest stage · inferred

Tenyks: limited disclosed financing to assess.

Synthesized from the figures below est. — every claim rests on a number shown on this page.

Where it sits in Food & Beverage

Tenyks is one of 567 Food & Beverage companies tracked from Cambridge, England, United Kingdom; Remote, on record since 2021. 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

The World's Most Versatile Video Answering Engine

Tenyks (YC S21) is a Cambridge University spin-out building the World's Most Versatile Visual Intelligence Platform—think Snowflake for Vision or GPT for Video. Problem: Companies today collect oceans of visual data (from cameras, drones, and satellites), but struggle to extract actionable insights. Current solutions rely heavily on manual analysis by call centres in locations like the Philippines or AI platforms narrowly focused on security rather than deeper operational insights. This leaves critical improvements in efficiency, customer satisfaction, and revenue growth unrealised. Solution: Tenyks unlocks unprecedented insights by applying advanced multimodal Vision-Language Models (VLMs) capable of comprehensive video summarisation, retrieval, and visual question-answering. These VLMs are seamlessly combined with specialised analytics for emotion detection, activity recognition, object tracking, and even gait analysis. Our platform transforms ordinary visual footage into extraordinary operational intelligence. Initial Focus: Starting with Quick Service Restaurants (QSRs), we enable operations leaders to instantly understand customer flow, kitchen efficiency, staff productivity, and quality of service using their existing security camera footage—turning previously inaccessible data into direct operational improvements and clear financial ROI. For instance, insights from Tenyks can accelerate the speed of service significantly; even a 1-second improvement in service speed could generate $30,000 additional annual revenue per restaurant. For a multi-unit owner of 100 restaurants, that's an additional $3 million per year. Traction: We've recently secured our first Fortune 500 customer, joining other major enterprises, global system integrators, and high-growth startups trusting Tenyks for powerful, data-driven decision-making. Why Tenyks: Our patented technology originates from the founders' PhD research at Cambridge University. Previously, we helped world-leading teams scale high-performing Vision AI in production. Recognition: Recognised as a Rising Star in Gen AI by Sifted, Best Product of the Year by Vision AI Alliance, and Company of the Year by Cambridge University (previously awarded to DeepMind).

AIAI AssistantArtificial IntelligenceComputer VisionVideoai/mlfood-beverage
Find Tenyks online

As reported in public records reported — not modeled.

GB
Jurisdiction
Amount raised vs valuation, by round

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.

Financing ladder & sequence gaps

No staged rounds to sequence.

Modeled valuation trajectory
Base estimate est.
Conservative case
Upside case
Modeled post-money

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.

Financing rhythm
Avg between rounds
Capital velocity
On record since
First round
0
Rounds on file
How it compares to the market

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.

Total raised — vs sector median (real $, all stages)
This company
Sector median$1.2M
Modeled value — vs sector median (estimate, all stages)
This company
Sector median$10.6M

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

Full financing history

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.

StageAmount · realAnnouncedPost-money · estValue · estConf.
No rounds recorded.
Intelligence
Modeled next raise
Modeled next size est.
Last step-up
Capital velocity

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.

Registry & provenance

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

United States
Country of record
GB
Jurisdiction
Similar companies

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.

CompanySectorStageRaised · realValue · estWhy similar
44 on Ennis Guest Lodge and RestaurantFood & Beveragesame sector
4 Guys Beverage Co.Food & BeveragePre-Seed$500K$11.5Msame sector
All or Nothing BrewhouseFood & Beveragesame sector
Anna Mae's Bakery and RestaurantFood & Beveragesame sector
Arcadia Guesthouse & RestaurantFood & Beveragesame sector
Artisan Pizza Pies of Stillwater, LLCFood & BeveragePre-Seed$413K$9.5Msame sector
Artisan's Cellar, LLCFood & BeveragePre-Seed$800K$6.9Msame sector
Ashton Brewing CompanyFood & Beveragesame sector
Semantically similar

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.

CompanySectorStageValue · estMatch
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Uplift AI
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AI / ML76%
CTGT
The deterministic layer for frontier intelligence
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Overshoot
AI Infra for real-time vision applications
Public Safety & Security75%
ZeroEntropy
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AI / ML75%
Moss
Real-time semantic search for Conversational AI
AI / ML75%
Cumulus Labs
The Fastest Multimodal Inference OS
AI / ML75%
Morph
Fast Models Optimized for Coding Agents
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Frequently asked
What does Tenyks do and where is it based?
Tenyks operates in the Food & Beverage sector, based in Cambridge, England, United Kingdom; Remote. The World's Most Versatile Video Answering Engine
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