smart-matching — Investor Overview

~6,600

Potential customers in Europe alone — same workflow problem, globally. Europe is the entry point.

~15 min

vs. ~40 min Manual for a 3-camera setup with smart-matching. Consistent broadcast-standard results every time.

Direct automated competitors — first-mover in this workflow

Problem Validated 0 Direct Competitors SAM Europe ~6,600 customers Pilot Partner Ambion GmbH MVP Target Q4 2026 Ask €150k Break-Even Year 4 Recurring SaaS ARR First-Mover Position Global workflow — same problem everywhere Problem Validated 0 Direct Competitors SAM Europe ~6,600 customers Pilot Partner Ambion GmbH MVP Target Q4 2026 Ask €150k Break-Even Year 4 Recurring SaaS ARR First-Mover Position Global workflow — same problem everywhere

Problem

A global industry running on a manual, operator-dependent workflow that has not changed in decades.

Production quality should not depend on the experience of the technician. smart-matching changes that.

Results depend on operator skill

Identical hardware, different technicians — different results. Quality is non-reproducible. Rental companies can't guarantee output consistency when the operator changes.

40 minutes per 3-camera setup

An experienced video engineer needs 10–15 minutes per camera to manually adjust pedestal, gamma, white balance, chroma, and all remaining colour parameters using waveform and vectorscope measurement. There is no automated alternative.

Senior specialists are scarce and expensive

The pool of technicians who can reliably match cameras to broadcast standard is small. Finding, booking, and paying them is a real operational constraint — especially for mid-market production companies.

No software solves it end-to-end

LUT-based tools shift the problem. Colour grading systems (like Grass Valley Creative Grading) address post-production, not live calibration. No product automates the in-camera parameter loop directly via API.

Solution

Automated. API-direct.
Operator-independent.

smart-matching grabs the live video feed, samples a DSC Labs ChromaDuMonde or comparable industry-standard test chart, computes the delta to the reference values, and applies corrections directly via camera API — in a loop until convergence.

How it works — step by step

Step 1

Cameras

Point at test chart

→

Step 2

Live signal capture

Live feed sampled

→

Step 3

Colour delta

Measured vs reference

→

Step 4

API correction

Pedestal · gamma · WB · chroma

→

Result

All cameras matched

Residual error reported

↻ Steps 2–4 repeat in a loop until per-channel colour error falls below threshold — typically within ~15 minutes for a 3-camera setup.

Parameters written directly to camera hardware

Pedestal Gamma Chroma Colour values Saturation and many more

On-premise. Runs locally on the production network. No cloud, no latency, no subscription dependency.
API-direct correction. Writes values directly into cameras via manufacturer API. Vendor-neutral by design — no signal chain interference.
Convergence loop. Correction runs until the measured delta falls below threshold. Not a one-shot adjustment.

Speed is a side effect — consistency is the point

Manual workflow ~10–15 min / camera

~40 min

smart-matching ~5 min / camera

~15 min

Competitive position

Feature	Manual	LUT / Post	smart-matching
Reproducible results	✗	✗	✔
Automated matching	✗	Partial	✔
No specialist required	✗	✔	✔
API-direct in camera	✗	✗	✔
Live production ready	✔	✗	✔

Why now — and why us

Nobody has built this. Here is why.

The gatekeepers have no incentive

Camera manufacturers have had the APIs for years. But Panasonic has no incentive to build a tool that also matches Sony and BirdDog cameras. Vendor-neutrality is structurally incompatible with their business model. They will never build this.

Live production has no second chance

LUT-based tools and colour grading systems work on the recorded image — after the camera. In live broadcast there is no after. The image goes out live. These tools solve the wrong problem.

The timing is finally right

The right conditions are only now coming together: open APIs across manufacturers, a team with deep knowledge of both the broadcast workflow and the technology to automate it, and a market that is growing faster than the available pool of specialists. The category is being defined now. The question is who is in.

Technology in Action

Built on proven technology.

Before smart-matching, we built smart-reset — an open-source camera control tool used in live productions today. It proves that our core technology works in the field: reading live video signals, communicating directly with professional cameras, and analysing colour in real time. smart-matching takes exactly this foundation and adds the automation layer: it computes the colour difference and corrects it without a human in the loop. 160+ installs in the field, ~2.4% organic penetration of the European SAM — with zero marketing spend, no paid promotion.

Camera Control UI

Browser-based interface for Panasonic and BirdDog PTZ cameras. Direct API control, no cloud, no subscription.

RGB Parade Waveform

Live feed analysis. R, G, B channels visualised in BT.709 — the same colour space smart-matching uses to compute the delta.

YCbCr Vectorscope

Saturation and hue trace in BT.709 with 75% colour-bar targets — the reference tool technicians use to judge matching quality.

Visit smart-reset homepage →

Market

European beachhead.
Global standard.

TAM — Total Addressable Market

~$1.8B

Global Broadcast Automation Software Market 2024. smart-matching addresses a specific workflow within this category.

Broader industry category.
Source: GrowthMarketReports 2024.

SAM — Serviceable Addressable Market

~6,600 customers

Identifiable potential customers in Europe — bottom-up, by segment

AV Rental
TV Studios
Streaming
OB Trucks

SOM — Serviceable Obtainable Market

~35 licenses

Year 4 target · ~0.5% of European SAM

Conservative entry.
Recurring annual revenue.

Europe is the entry point. Broadcast workflows are globally standardised — the same problem exists in every market worldwide. The market does not stop at European borders.

Segment	Europe Estimate	Priority
AV Rental & Production Companies	1,800–2,400	Y2 Entry
Streaming, Event & Podcast Studios	1,200–1,500	Y3
News & TV Studios (3+ cameras)	2,000–2,500	Y3–Y4
OB Trucks	900–1,200	Y4

Bottom-up estimates based on industry knowledge and publicly available data. Europe as initial target market. Global opportunity is structurally identical — same workflow, same problem, same solution.

Go-To-Market

Land → Expand → Scale.

Enter through rental companies where the pain is sharpest, then expand into studios and OB trucks.

Land — Y2 Q2 2027

AV Rental

Ambion GmbH + 1–2 peers. Beta deployments convert to paid Studio licenses. Direct outreach to the AV rental segment where operator-dependency costs are highest.

Expand — Y3 2028

Studios & Streaming

Streaming and event studios, podcast studios. Direct outreach combined with ISE / IBC trade show presence to build pipeline in the studio segment.

Scale — Y4 2029

OB & Enterprise

OB truck operators and TV studios. Enterprise tier launched. Reseller channel established for accelerated customer acquisition at scale.

Business Model

Annual SaaS. Flexible options.
On-premise. No cloud dependency.

Recurring software licensing with service layers on top. Three SKUs designed for each distribution channel.

Studio Edition

€ 3,500 / year

AV Rental, Small Studios (3 cameras included)

Studio — Camera License

€ 650 / camera / yr

+1 camera per license added to Studio Edition

Enterprise Edition

€ 16,000 / year

TV Studios, OB Trucks (unlimited cameras)

Studio Edition — Rental License

€ 350 / 7 days

Studio Edition available for rent — event-based, no annual commitment

Roadmap

Commercial launch Q2 2027.

Q4 2025

Done

Development StartAlgorithm, Look Profile system, API abstraction layer.

Q4 2026

MVP

MVP CompleteCore matching loop complete. Live signal capture + delta computation + API write. Vectorscope reference validated.

Q1 2027

Validate

Beta with AmbionBeta deployment. Feedback loop. Look Profile optimization.

Q2 2027

Launch

Commercial LaunchRental sector. First paying customers. Studio Edition live. Direct sales outreach to AV rental companies.

2028

Expand

Studio & StreamingISE / IBC presence. Studio edition rollout.

2029

Scale

Enterprise & OBEnterprise tier. OB truck operators. Manufacturer partnership channel.

Team

Two people. One problem. We lived it before we built it.

The product is not built from a market study. It is built from 800+ productions worth of operational pain — and a developer who recognised the problem before it was explained.

Andreas Jaenisch

CEO & Founder

Andreas has over 30 years of live production experience across broadcast, AV rental, and streaming environments. More than 800 productions delivered for clients including Audi, BMW, Deutsche Bank, and SAP. Built smart-reset (160+ installs) as the technical proof-of-concept for the stack underlying smart-matching.

LinkedIn →

Adil Sunil

CTO & Co-Founder

Adil is a Fullstack developer and a passionate videographer and photographer. He recognised the problem the first time it was explained — not because he had researched it, but because he had experienced it himself. He joined with concrete solutions from day one.

LinkedIn →

Contact

Ready to talk?

For investment inquiries, demos, and partnership discussions — send a brief note and we'll come back to you promptly.

Email

info@medien-support.com

Phone

+49 151 144 53 300

Address

medien-support
Andreas Jaenisch
Simplonstr. 65
D-10245 Berlin
Germany

FAQ

Investor questions,
answered directly.

Is the MVP already built?

Development started Q4 2025. The core stack — live signal capture, camera API control, and broadcast-grade scope analysis — is production-validated through smart-reset, which has been running in the field for two years. smart-matching automates the next step in that stack. The MVP completes Q4 2026. This is not a concept — it is an engineering project with a working foundation.

What stops someone from copying this once it is out?

The moat is not the code — it is the domain knowledge required to build it correctly. Getting the convergence loop to work reliably across different camera models, lighting conditions, and production environments requires deep broadcast expertise that cannot be replicated from a spec sheet. Additionally, first-mover position in a workflow that integrates directly into production infrastructure creates high switching costs. A competitor starting today builds against a moving target.

Why not a software LUT or post-production tool?

LUTs apply colour grades to the recorded image after the fact. smart-matching corrects the camera itself — via API, before the signal leaves the camera. The result is identical camera output in real time, not a colour grade applied in post. For live broadcast, there is no "post" — the image goes out live.

The first automated
colour matching
software for live
broadcast.

Ambion GmbH — Launch Partner