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Proof Engine/Case studies

A senior team that builds software, AI automations and go-to-market for companies.

26 case studies from 10 industries: mobile apps, marketplaces, IoT hardware, data platforms, AI workflows and paid-acquisition tests.

26Case studies
10Industries
15Years of experience, since 2011

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Section 01/5 cases

Validate

Proof before commitment

Get proof before the next build, pilot, or market push. Validation is not research theater. It is a decision system for teams that need evidence before committing more time, budget, team capacity, or confidence.

How the Validate offer works

Generated illustration of creator revenue data flowing through underwriting and risk controls
Generated illustration

Case 01/Fintech & Crypto/Proof Engine project

Revenue-based capital platform for creators

Testing whether creators and capital providers would engage with a revenue-backed financing product.

  • Product & MVP
  • Platforms & Marketplaces
  • Data, AI & Automation

Challenge

The team needed evidence from both sides of a financing marketplace before building a broad creator platform.

What we did

Mapped segments, tested four offer framings, built an application-style MVP, and ran creator and capital-side conversations.

Outcome

Narrowed the opportunity to creators with measurable recurring income and defined underwriting as the next proof gate.

Anonymized clientRead the full case
Generated illustration of an AI qualification flow producing a structured sales handoff
Generated illustration

Case 02/AI & Data/Proof Engine project

AI sales qualification assistant

A focused AI qualification workflow tested before committing to a broad sales-automation platform.

  • Product & MVP
  • Data, AI & Automation
  • Platforms & Marketplaces

Challenge

Prospects had to trust the interaction and sales teams had to find the resulting handoff useful.

What we did

Built two conversation flows, tested three positioning variants, and generated structured sales-ready handoffs.

Outcome

The shorter flow won, shifting the product toward a qualification layer before human sales rather than an AI replacement for sales.

Anonymized clientRead the full case
Generated illustration of a narrow AI workflow with exception and human-review paths
Generated illustration

Case 03/AI & Data/Proof Engine project

AI workflow automation prototype

Proving one high-value operational workflow before expanding into a broad automation platform.

  • Product & MVP
  • Data, AI & Automation
  • Architecture & Reengineering

Challenge

General interest in automation obscured which workflow was urgent enough to adopt and pay for.

What we did

Mapped operational pain, selected a narrow workflow, built a human-reviewed functional prototype, and tested positioning by segment.

Outcome

Proved workflow feasibility and clarified the segment, leaving a live-team pilot as the next evidence gate.

Anonymized clientRead the full case
Original empathy-detection computer-vision architecture diagram
Original project material

Case 05/AI & Data/2019

Customer empathy detection

A self-funded computer-vision concept for estimating customer emotional response in offline retail.

  • Product & MVP
  • Data, AI & Automation
  • IoT & Computer Vision

Challenge

Turn an ambiguous human signal into a testable face-and-video analysis workflow without claiming a validated empathy model.

What we did

Designed a webcam-based capture and ML/CV analysis architecture for retail interactions and documented potential store, bank, and call-center scenarios.

Outcome

Produced a presentation-ready architecture and proof concept; no trained or deployed production model was claimed.

Public case
Original easy10 mobile language-learning product presentation
Original project material

Case 06/Consumer & Hospitality/2013–2014

easy10 language-learning platform

A language-learning product built around ten words a day.

  • Product & MVP
  • Architecture & Reengineering
  • Teams & Delivery
  • Scale & Infrastructure

Challenge

After iOS 7 disrupted the early app for roughly one in three users, the product needed a full mobile rebuild, scalable backend and data processing, and a delivery team.

What we did

Designed and prototyped the architecture, implemented redundant high-load infrastructure, rebuilt iOS and Android apps, assembled the team, and supported business development.

Outcome

Reached 200,000 users in the first three months; later public reporting recorded more than 500,000 downloads and about $450,000 in seed investment after a three-month IIDF accelerator.

RedSwan Private Client investor platform: a property page with the investment opportunity panel
Original project material

Case 07/Real Estate & Proptech/2015–2023

RedSwan tokenized real estate marketplace

From a privately distributed iOS property app in 2015 to the investor platform for a tokenized commercial real estate marketplace, designed end to end by one technical product manager.

  • Product & MVP
  • Platforms & Marketplaces
  • Teams & Delivery

Challenge

RedSwan needed to put real estate in front of its investors, first as a mobile app and then as a web platform built around tokenized offerings.

What we did

Shipped a privately distributed iOS app in 2015, then designed the platform from zero in 2018: investor cabinet, property listing and every flow between them. Led it as technical product manager, hiring and directing two developers inside a four-person team.

Outcome

A working platform for RedSwan's marketplace and a collaboration that ran until around 2023. Payments were deliberately left out at that stage so the flows could be tested first.

Original Giga Watt project mark
Original project material

Case 08/Fintech & Crypto/2017–2018

Giga Watt mining-facility operations platform

One operations layer for distributed crypto-mining facilities.

  • Architecture & Reengineering
  • Data, AI & Automation
  • Scale & Infrastructure

Challenge

Monitoring, pool control, efficiency, and stock management were fragmented across a distributed physical operation.

What we did

Designed, developed, and implemented the software management system spanning facilities, devices, pools, efficiency, and inventory.

Outcome

Created a unified operational view for site operators and owners of hosted mining equipment across facilities, devices, pools, efficiency, inventory, and customer dashboard functions.

Generated illustration of a property brief and photograph becoming reviewed marketing materials in several formats
Generated illustration

Case 09/Real Estate & Proptech/2026

Architecture and expert review for an AI product launch

A startup studio’s AI service built through architectural judgment, security engineering, a professionally reviewed Codex Security audit, and expert review of copy and optimization.

  • Product & MVP
  • Data, AI & Automation
  • Architecture & Reengineering

Challenge

The client supplied the concept and brief. The service needed a coherent architecture for private data, paid AI operations, controlled growth, and a credible public launch.

What we did

Designed and implemented the architecture, access controls, paid processing, and operating foundation. Security review combined Codex Security with professional assessment; copy and optimization also received professional review.

Outcome

Delivered a functional service with durable processing, tested access and accounting boundaries, reviewed public content, and search, communication, and operating foundations for GTM.

Anonymized clientRead the full case
Original CastingForm presentation associated with its May 2019 Cannes appearance
Original project material

Case 10/Media & Marketplaces/2019

CastingForm film-production marketplace

An international platform connecting producers, casting teams, coaches, and actors end to end.

  • Architecture & Reengineering
  • Teams & Delivery
  • Platforms & Marketplaces

Challenge

The existing product needed a stronger architecture, infrastructure plan, and delivery organization before its next market-facing stage.

What we did

Reengineered the existing architecture, led delivery, defined infrastructure strategy, and analyzed product traction to guide priorities.

Outcome

The platform was presented at Marché du Film in Cannes in May 2019, after the reengineering engagement had ended.

Public case
Frame from the original Wapl Rune location-based game trailer
Original trailer frame

Case 11/Media & Marketplaces/2017–2022

Wapl Rune location-based AR game

A working location-based AR game built around shared quests, points of interest, and collective mechanics.

  • Product & MVP
  • Architecture & Reengineering
  • Scale & Infrastructure

Challenge

Location-aware play, AR/VR, collective mechanics, and branching quest progression had to work as one coherent mobile system.

What we did

Designed location-bound quest flows with POIs and check-ins, resources, battles, sequential and branching steps, quest chains, and rewards.

Outcome

Reached a working closed beta with more than 100 testers in December 2020; a later public release was planned but is not independently confirmed.

Public case
Bloom app screens: bouquet feed, bouquet detail, shop order queue, and delivery step
Original product design

Case 12/Media & Marketplaces/Product history

Bloom local flower marketplace

A two-sided mobile marketplace connecting bouquet buyers with local flower shops.

  • Product & MVP
  • Platforms & Marketplaces

Challenge

Discovery, trust, delivery, checkout, and shop operations had to work as one local-commerce experience.

What we did

Designed both marketplace sides: occasion and location discovery, florist profiles, catalog, favorites, checkout, and order management.

Outcome

Created a complete buyer-to-florist product flow ready for implementation and market testing.

Henry app screens: story timeline, participant list, join-to-story, and story editor
Original product design

Case 13/Media & Marketplaces/Product history

Henry collaborative storytelling

A social product where groups create one shared multimedia story.

  • Product & MVP
  • Platforms & Marketplaces

Challenge

Photos, video, music, and 360° media needed creation mechanics built around group authorship rather than solo posting.

What we did

Defined the product strategy, creator UX, invitations, collaborative editing, media tools, and publishing mechanics.

Outcome

Delivered a coherent social-product concept for creating and publishing stories together.

Chefmates mobile cookbook product screens
Original product design

Case 14/Consumer & Hospitality/Product history

Chefmates mobile cookbook

A content-rich cookbook redesigned around how people move from discovery to cooking.

  • Product & MVP
  • Platforms & Marketplaces

Challenge

Recipes from established authors and food blogs needed one simple mobile journey rather than a dense catalog.

What we did

Designed the product concept, UX architecture, discovery filters, favorites, shopping lists, and step-by-step cooking flow.

Outcome

Produced an end-to-end mobile product experience spanning inspiration, planning, and kitchen use.

Section 03/4 cases

Grow

Demand tested with real spend

Turn signal into market motion. Proof Engine helps teams find first customers, structure pilots, build GTM assets, and create traction systems that feed market learning back into the product.

How the Grow offer works

Meta AdsUSA & EUB2B
$7.89Cost per lead · 74 leads
2×Cheaper lead vs. first tests

Case 15/Venture & Startup Programs/2025–2026

Founder acquisition for a startup accelerator

Paid acquisition of non-technical founders for an accelerator, tested down to half the starting lead cost.

  • Demand & Acquisition

Challenge

The program needed applications from founders it could actually accept, and the early creative rounds were buying leads at roughly twice the cost the economics allowed.

What we did

Ran Meta as the only channel across two audience sets — seed-accelerator intent and broader startup-company intent — and tested creatives, headlines, and offer angles until one held: address non-technical founders directly and promise they can stay on vision and fundraising while the program handles the rest.

Outcome

74 website leads at $7.89 each on $583.97 of spend, with cost per lead halved over the test cycle. The seed-accelerator audience delivered leads at $6.48 against $10.09 for the broader startup audience, which decided where the budget belonged.

Anonymized clientSee the benchmarks page
Meta AdsUKB2C
£1.93Cost per lead · 33 leads
4.69%CTR, all clicks

Case 16/Real Estate & Proptech/2025–2026

Investor acquisition for a fractional property app

Getting first-time property investors into an app where a stake starts at £100.

  • Demand & Acquisition

Challenge

Fractional ownership had to be explained and sold inside a single ad, to people who assume property investing needs a large budget.

What we did

Ran Meta on UK audiences with static creative only, after it outperformed the alternative, and built the winning ad around the entry price itself: invest in UK property without a large budget, starting at £100 in fractional shares.

Outcome

33 website leads at £1.93 on £63.71 of spend and a 4.69% all-click rate. One static visual out of the set carried 21 of those leads at £1.60 each, so the creative question was settled before scaling budget.

Anonymized clientSee the benchmarks page
Google AdsEUB2B
€288.87Cost per conversion · 20 total
€15,000Average deal size

Case 17/Health & Telemedicine/2025–2026

Clinic acquisition for a telemedicine platform

Search-driven pipeline for a telemedicine platform sold to clinics, where one deal is worth €15,000.

  • Demand & Acquisition

Challenge

Demand had to be captured from clinics already looking for a telemedicine solution, which made search intent — not audience targeting — the thing to get right.

What we did

Built the keyword set from scratch, wrote the ads, and ran continuous keyword and campaign optimisation across two ad groups: one on telemedicine intent, one on broader digital-health wording.

Outcome

20 conversions at €288.87 from €5,777 of spend at a 5.2% click-through rate. Telemedicine intent converted at €237.12 against €366.49 for digital health, and against a €15,000 average deal both stayed far inside what the business could pay.

Anonymized clientSee the benchmarks page
Meta AdsUSAB2B
$10.12CPL · winning video set
46Leads · $16.65 blended

Case 18/Health & Telemedicine/2025–2026

Therapist acquisition for a VR therapy app

Selling a VR hypnotherapy tool to practising psychotherapists, where video did the work static could not.

  • Demand & Acquisition

Challenge

The offer was new enough that psychotherapists, psychologists, and clinics had to understand an unfamiliar treatment method before they would leave their contact details.

What we did

Ran twelve ad sets on Meta against US practitioners and clinics, splitting static feed creative against video that showed a session and positioned VR hypnotherapy as an addition to an existing practice rather than a replacement for it.

Outcome

46 leads on $765.77 of spend — every one of them from a video ad set, the best at $10.12 per lead, while the static feed sets produced none. Blended cost per lead was $16.65 against a $150 monthly subscription.

Anonymized clientSee the benchmarks page

Grow/Side by side/2025–2026

What paid acquisition actually cost us: four tests, four markets, real numbers.

TestChannelGeoModelSpendLeadsCost per lead
Fractional property investing appMetaUKB2C£63.7133£1.93
Startup accelerator, founder intakeMetaUSA & EUB2B$583.9774$7.89
VR therapy app, practitioner intakeMetaUSAB2B$765.7746$16.65
Telemedicine platform, clinic intakeGoogleEUB2B€5,77720€288.87
  • Narrowing intent cut cost by about a third.Seed-accelerator intent came in 36% below broad startup intent; telemedicine intent 35% below general digital-health wording.
  • “Video wins” is not a rule.Static carried the UK consumer test; in the US practitioner test static produced zero leads and video did all the work.
  • Small on purpose.These were validation budgets, from £63.71 to €5,777. Currencies are left as spent; read the shape of each result, not the absolute numbers.

Section 04/8 cases

Scale & Partner

Architecture and platforms under load

De-risk the next market, workflow, or growth system. Proof Engine helps mature teams test new products, markets, AI workflows, modernization bets, and GTM systems before they become expensive roadmap commitments.

How the Scale & Partner offer works

Generated illustration of a secure modular AI and enterprise data architecture
Generated illustration

Case 19/AI & Data/2024–present

Enterprise data architecture for an iGaming group

Target architecture and engineering standards for an NDA iGaming data platform spanning DWH, clickstream, experimentation, recommendation, BI, and secure AI.

  • Architecture & Reengineering
  • Data, AI & Automation
  • Scale & Infrastructure

Challenge

Product, data, engineering, and security teams needed shared decisions for batch and streaming ingestion, historical migration, governance, and production readiness.

What we did

Authored and reviewed 15 ADRs and designed the analytical platform around Kafka, ClickHouse, Iceberg, and Airflow, with data contracts, schema versioning, replay and backfill, observability, lineage, ownership, and access controls.

Outcome

Turned cross-team constraints into implementable roadmaps and acceptance criteria across DWH, provider onboarding, clickstream, experimentation, recommendation, and governed LLM integrations.

Anonymized clientRead the full case
Generated illustration of a connected city feeding a real-time analytics platform
Generated illustration

Case 20/AI & Data/2021–2024

Urban-Intel high-throughput data platform

A real-time platform built to turn more than a terabyte of daily data into operational decisions.

  • Architecture & Reengineering
  • Teams & Delivery
  • Scale & Infrastructure

Challenge

Monitoring, control, analytics, and immersive visualization had to work across a high-volume enterprise data estate.

What we did

Architected the platform, introduced AR/VR visualization, and led a cross-functional organization of 50+ engineers, PMs, analysts, QA, and DevOps.

Outcome

Deployed a platform processing 1+ TB per day and expanded the product surface with Unity3D, Canvas3D, and HoloLens experiences.

Public case
Generated illustration of resilient telecom telemetry and analytics infrastructure
Generated illustration

Case 21/Enterprise & Public Sector/2021–2024

Mission-critical telecom telemetry and accounting

Real-time telemetry, accounting, and OLAP for a top-three telecommunications provider.

  • Architecture & Reengineering
  • Scale & Infrastructure
  • Data, AI & Automation

Challenge

A mission-critical system needed reliable streaming, analytics, integrations, and materially better cloud economics.

What we did

Designed and maintained the architecture for real-time streams, OLAP analysis, accounting, and external integrations.

Outcome

Cut cloud infrastructure cost fourfold while preserving the operational data flows the business relied on.

Anonymized client
Smart-battery hardware installed on a connected service cart
Project archive

Case 22/Smart Cities & IoT/2022–2025

Smart-battery platform for medical equipment

A modular battery and charging system designed to keep mobile medical equipment powered and observable.

  • Architecture & Reengineering
  • Teams & Delivery
  • IoT & Computer Vision

Challenge

Medical carts needed safe hot-swappable power across multiple voltage outputs, while batteries and charging stations also needed remote monitoring.

What we did

Advised on product architecture across smart BMS, protection, hot-swap, 3–70 V and USB-C outputs, charging stations, and Wi-Fi/cloud monitoring; supported the roadmap and engineering hiring.

Outcome

Connected the requirements for 36 V, 680 Wh batteries and one-, two-, and four-battery charging stations in one implementable hardware/software roadmap.

Original Telecan LPWAN metering devices and analytics interface
Original project material

Case 23/Smart Cities & IoT/2017

Telecan LPWAN metering platform

A Lumiot LPWAN platform for autonomous collection and cloud analysis of electricity, heat, and water-meter data.

  • Architecture & Reengineering
  • Data, AI & Automation
  • IoT & Computer Vision

Challenge

Electricity, heat, and water readings had to be collected, stored, and analyzed without frequent field maintenance.

What we did

Designed the system across low-power sensors, Lumiot base stations, GSM-connected gateways, cloud device management, data collection, and visualization; LoRa support was planned.

Outcome

Specified up to 2,000 devices within a 4 km radius per base station and a sensor design rated for 14 years on a single AAA battery.

Generated illustration of a connected smart-city operations platform
Generated illustration

Case 24/Smart Cities & IoT/2015–2017

Geogramma smart-city operations platform

A modular city-management platform connecting citizen requests, municipal workflows, fleet telemetry, road maintenance, and public-space operations.

  • Architecture & Reengineering
  • Teams & Delivery
  • Platforms & Marketplaces
  • IoT & Computer Vision

Challenge

Several municipal workflows and data sources needed one product and architecture strategy.

What we did

Led software architecture, product planning, risk management, and sales support for a 20-person team, with telemetry services built in Node.js, Python, PHP/Symfony, and Angular.

Outcome

Delivered modules for citizen complaints, city BPMS, fleet telemetry, street cleaning, and road-construction operations.

Public case
Connected battery-charging station prototype with a built-in display
Project archive

Case 25/Smart Cities & IoT/2022–2025

Connected charging and access control

Hardware/software architecture for connected charging and access-control products, including a related computer-vision capability.

  • Architecture & Reengineering
  • IoT & Computer Vision
  • Data, AI & Automation

Challenge

Physical devices, presence and access control, and computer vision had to be translated into a coherent technical roadmap without coupling unrelated product functions.

What we did

Reviewed architecture and delivery for charging and access-control products, including neural-network number-plate recognition, and translated product constraints into technical and hiring priorities.

Outcome

Established an implementation roadmap with clear boundaries between connected devices, access control, and computer-vision integration.

Public case
Original NOMP mining-pool statistics dashboard
Original project material

Case 26/Fintech & Crypto/2018

NOMP multi-currency mining pool

An open-source-based mining pool redesigned to support several major currencies at device scale.

  • Architecture & Reengineering
  • Scale & Infrastructure

Challenge

The pool needed a reliable internal redesign across Dash, BTC-GPU, Ethereum, Litecoin, and other currencies.

What we did

Reworked the NOMP-based platform and its operational architecture for multi-currency mining workloads.

Outcome

Supported more than 5,000 connected mining devices across a multi-currency pool.

Public case

Clients

Client reviews

Edward Nwokedi, Founder and CEO of RedSwan, in a client testimonial video 5:01

Client testimonial · 5 min video

Working together since 2015: Kirill worked on the first RedSwan mobile app, then designed the RedSwan platform end to end as technical product manager.

Edward Nwokedi, Founder & CEO of RedSwan, on working with Kirill

Watch on YouTube
A client review on Clutch
“They've truly understood our business before proposing anything.”

Ricardo Casquero, CEO, Armada Esports · Gaming · Buenos Aires

  • 5.0 · Verified review
  • Aug 2026
  • Custom software development

From the Clutch summary: the client has gained at least 30% efficiency and described the engagement as a real differentiator that keeps clients coming back to their business.

Read on Clutch

Next step

Have something to build or grow? Let's talk.

Book a short routing call. A clear problem, constraint or question is enough to start.

Who you would be talking to

Kirill Artsymenia, Founder of Proof Engine

Kirill Artsymenia Founder

Product, validation, GTM and studio strategy

Anton Griev, Co-founder of Proof Engine

Anton Griev Co-founder

Technology, AI workflows and delivery

The minimum engagement is $4,500, covering a two-to-four-week scope; larger work is scoped per situation. Every case in this deck is on proofengine.studio/case-studies, and the whole deck is available as a PDF.