# Proof Engine **Website:** https://proofengine.studio/ **Blog:** https://blog.proofengine.studio/ **Tagline:** Validate what matters. Build what earns it. Turn signal into traction. **Positioning:** Proof-led product, engineering, and GTM execution for teams building what the market will actually use. **Contact:** https://proofengine.studio/contact/ (intake form) · https://cal.com/kirylartsymenia (routing call) · kirill@proofengine.studio --- ## What Proof Engine Does Proof Engine is a proof-led product, engineering, and GTM studio. We help teams validate what matters, build what earns it, and turn signal into traction — across product validation, product engineering, AI workflows, go-to-market motions, market entry, and partner programs. We do not treat validation, build, and GTM as separate phases owned by separate vendors. We run them as one evidence loop: define the riskiest assumption, build only what the test or motion needs, expose it to the right users or buyers, interpret the signal, and decide the next allocation. Pricing is not published; scope is defined per engagement, and larger engagements usually start with a short paid discovery. The best entry point is the intake form at /contact/ or a routing call. --- ## The Evidence Loop (Methodology) Every engagement moves through one loop: 1. Define the question — product, market, workflow, or growth. 2. Find the riskiest assumption — what could break it. 3. Build the smallest credible test asset. 4. Test with real users, buyers, operators, partners, or the market. 5. Read the signal — behavioral, commercial, or structural. 6. Decide the next move — continue, narrow, build, pilot, scale, or stop. Signal standard: activity (clicks, traffic, compliments) is not proof. Useful signal changes a guess; strong proof is paid, repeated, or committed action. Full methodology: https://proofengine.studio/methodology/ Discovery before larger work: https://proofengine.studio/methodology/#discovery-before-larger-work --- ## Offer Families Work is organized by stage and decision, not by service category. Catalog: https://proofengine.studio/offers/ ### Validate — proof and decision quality before more build, budget, or conviction https://proofengine.studio/validate/ - Validation Sprint — https://proofengine.studio/offers/validation-sprint/ - Demand Validation Sprint — https://proofengine.studio/offers/demand-validation-sprint/ - MVP Diagnostics & Repositioning — https://proofengine.studio/offers/mvp-diagnostics-repositioning/ ### Build — product, AI workflow, and engineering work tied to evidence https://proofengine.studio/build/ - Validation MVP Build — https://proofengine.studio/offers/validation-mvp-build/ - V1 Product Build — https://proofengine.studio/offers/v1-product-build/ - AI Workflow / Internal Product Build — https://proofengine.studio/offers/ai-workflow-internal-product-build/ - Product Engineering Support — https://proofengine.studio/offers/product-engineering-support/ - Dedicated Product Squad — https://proofengine.studio/offers/dedicated-product-squad/ ### Grow — first customers, pilots, GTM motion, developer ecosystems, early traction https://proofengine.studio/grow/ - GTM Motion Buildout — https://proofengine.studio/offers/gtm-motion-buildout/ - First Paying Customers Program — https://proofengine.studio/offers/first-paying-customers-program/ - Pilot-to-Revenue Program — https://proofengine.studio/offers/pilot-to-revenue-program/ - First Traction System — https://proofengine.studio/offers/first-traction-system/ - Developer Ecosystem Growth Program — https://proofengine.studio/offers/developer-ecosystem-growth-program/ ### Scale & Partner — market entry, operating systems, modernization, portfolio and co-build work https://proofengine.studio/scale/ · https://proofengine.studio/partners/ - Market Entry Proof Program — https://proofengine.studio/offers/market-entry-proof-program/ - Product Growth & GTM Operating System — https://proofengine.studio/offers/product-growth-gtm-operating-system/ - AI / Data / Cloud Modernization Engagement — https://proofengine.studio/offers/ai-data-cloud-modernization-engagement/ - Portfolio Proof Program — https://proofengine.studio/offers/portfolio-proof-program/ - Co-Build / Joint GTM Partnership — https://proofengine.studio/offers/co-build-joint-gtm-partnership/ ### Naming logic Sprint = a short proof or decision checkpoint. Build = a concrete product or technical artifact. Program = a longer GTM, market, pilot, or portfolio motion. System = operating infrastructure that keeps running after the engagement. Engagement = scoped senior technical work. Partnership = shared commercial or co-delivery work. --- ## Six Common Starting Points (Hero Offers) | Offer | Best for | |---|---| | Validation Sprint | Any team that needs proof before a product, market, budget, or partner commitment | | V1 Product Build | Teams ready to turn enough proof into a real product foundation | | AI Workflow / Internal Product Build | Teams that need AI, automation, or internal tools tied to real workflow value | | First Paying Customers Program | Teams that need first revenue, paid demand, or commercial signal | | Market Entry Proof Program | Companies testing a new market, segment, geography, or vertical before larger commitment | | Portfolio Proof Program | Funds, syndicates, accelerators, and communities that need repeatable support across companies | --- ## Routing by Stage | Stage | Main question | Start with | |---|---|---| | Idea or pre-product | Should this be built at all? | Validation Sprint, Validation MVP Build | | MVP but weak traction | Is the issue product, ICP, positioning, or channel? | MVP Diagnostics & Repositioning, Demand Validation Sprint | | Early founder needs customers | How do we get close to paying demand? | First Paying Customers Program | | B2B product needs pilots | How do we turn interest into paid pilots? | Pilot-to-Revenue Program | | Seed to Series A team | How do we make early signal repeatable? | First Traction System, Product Growth & GTM Operating System | | Mature company initiative | Should we commit budget, team, or roadmap? | Validation Sprint, Market Entry Proof Program, AI Workflow / Internal Product Build | | Technical bottleneck | Is product or growth blocked by data, AI, cloud, or architecture? | AI / Data / Cloud Modernization Engagement | | Fund or partner | Is this opportunity worth deeper support or co-build? | Portfolio Proof Program, Co-Build / Joint GTM Partnership | --- ## Proof Patterns (Case Studies) Anonymized and public-safe cases with approved metric ranges. Full filterable catalog: https://proofengine.studio/case-studies/ — 24 cases across 10 industries and 8 problem types. **Eleven catalog cases have full write-ups across eight pages** (listed first in the catalog and marked "Full case"): four proof patterns, three founder stories from the team's own companies, and four paid-acquisition cases collected on one benchmark page. The remaining cases are short entries addressable by their #case- anchor on the catalog page. ### Proof patterns — full pages 1. **AI sales assistant validation** — narrowed a broad AI sales platform concept to one inbound qualification workflow; landing page variants, AI conversation flows, and targeted acquisition produced clear engagement and conversion signal that reshaped the build and the investor narrative. https://proofengine.studio/case-studies/ai-sales-assistant/ 2. **Creator monetization platform validation** — tested whether creators and capital-side participants would trust a revenue-based capital product; segment mapping, offer framings, and an application-side MVP flow produced demand and underwriting signal that narrowed the wedge. https://proofengine.studio/case-studies/creator-capital/ 3. **AI workflow automation validation** — moved a broad AI automation concept to one specific workflow proof with measurable adoption signal before a larger platform was built. https://proofengine.studio/case-studies/ai-workflow-automation/ 4. **AI legal operations pilot** — implemented a governed AI workflow for a high-volume legal practice (notifications, deadlines, template-based drafts, risk-tiered human review); prototype implemented, production workflow in buildout on a tool-agnostic connector strategy. https://proofengine.studio/case-studies/legal-ops-ai/ ### Founder stories — full pages Three of the 24 cases are the founder's own companies, written up with what was built, what it cost, and why each ended. First-person material, no permission constraints. - **Henry** (2017–2018 · US/AUS/UK/EU · iOS) — a group-authorship social video app that raised $500k from angel investors who were also its distribution (athletes and models, ~4.25M combined audience), ran a closed beta of ~100 people who used it fully, and never launched. The binding constraint was hiring: the Swift developer role for video multi-processing turned over three or four times. Its own deck put break-even at 93,000 monthly active users. https://proofengine.studio/case-studies/henry/ - **Bloom** (2015–2016 · Belarus · iOS + Android · exited) — a two-sided flower marketplace that signed 200 shops across 5 cities through cold sales and shipped demand mechanics (calendar birthday reminders, occasions feed, repeat send), then peaked at 50–70 orders a day: roughly one order per shop every three days. Sold rather than scaled. https://proofengine.studio/case-studies/bloom/ - **Chefmates** (2013–2014 · CIS · iOS · closed) — a recipe aggregator with 600+ recipes from 72 authors on revenue share and a natural-language search bar built after studying 50+ competing apps. Reached 2,000 MAU and ~$1,000/month — $0.50 per active user per month — but both revenue models charged once, so revenue could not compound with recurring usage. https://proofengine.studio/case-studies/chefmates/ ### Paid demand tests (2025–2026) Four anonymized acquisition cases where paid traffic was used to test ICP, market, and message — not as standalone ad management. Each names its channel and geography, and is judged on cost per qualified response rather than clicks. All four are collected on one page with the spend, sample sizes, segment splits, and methodology behind each number: https://proofengine.studio/case-studies/paid-acquisition-benchmarks/ Cross-case findings from that page: narrowing to explicit intent cut cost per lead by 36% and 35% in the two tests where broad and narrow segments ran side by side; creative format went opposite ways in the same year on the same platform (static won UK B2C, video was the only thing that worked for US B2B practitioners); and validation budgets ranged from £63.71 to €5,777. 5. **Startup accelerator, founder acquisition** (Meta Ads · USA & EU · B2B) — tested creatives, headlines, and offer angles for an accelerator intake; 74 leads at $7.89 on $583.97 of spend, cost per lead halved over the cycle, and the seed-stage audience ($6.48) beat the broad startup audience ($10.09). https://proofengine.studio/case-studies/paid-acquisition-benchmarks/ 6. **Fractional property investing app, investor acquisition** (Meta Ads · UK · B2C) — static-only creative built around a £100 entry point; 33 leads at £1.93 on £63.71 of spend, 4.69% all-click rate, with one visual delivering 21 leads at £1.60. https://proofengine.studio/case-studies/paid-acquisition-benchmarks/ 7. **Telemedicine platform for clinics, pipeline from search** (Google Ads · EU · B2B) — keyword set, ads, and continuous optimisation across two ad groups; 20 conversions at €288.87 from €5,777 of spend at 5.2% CTR, against a €15,000 average deal. https://proofengine.studio/case-studies/paid-acquisition-benchmarks/ 8. **VR therapy app, practitioner acquisition** (Meta Ads · USA · B2B) — twelve ad sets split between static and video for psychotherapists and clinics; 46 leads on $765.77, every lead from video (best set $10.12, blended $16.65) against a $150/month subscription. https://proofengine.studio/case-studies/paid-acquisition-benchmarks/ ### Full catalog — all 24 cases by industry **AI & Data** - **Enterprise data architecture for an iGaming group** (2024–present, anonymized) — Target architecture and engineering standards for an NDA iGaming data platform spanning DWH, clickstream, experimentation, recommendation, BI, and secure AI. Turned cross-team constraints into implementable roadmaps and acceptance criteria across DWH, provider onboarding, clickstream, experimentation, recommendation, and governed LLM integrations. https://proofengine.studio/case-studies/#case-igaming-enterprise-data - **Urban-Intel high-throughput data platform** (2021–2024, public) — A real-time platform built to turn more than a terabyte of daily data into operational decisions. Deployed a platform processing 1+ TB per day and expanded the product surface with Unity3D, Canvas3D, and HoloLens experiences. https://proofengine.studio/case-studies/#case-urban-intel-data-platform - **Customer empathy detection** (2019, public) — A self-funded computer-vision concept for estimating customer emotional response in offline retail. Produced a presentation-ready architecture and proof concept; no trained or deployed production model was claimed. https://proofengine.studio/case-studies/#case-empathy-detection - **AI sales qualification assistant** (Proof Engine, anonymized) — A focused AI qualification workflow tested before committing to a broad sales-automation platform. The shorter flow won, shifting the product toward a qualification layer before human sales rather than an AI replacement for sales. https://proofengine.studio/case-studies/ai-sales-assistant/ - **AI workflow automation prototype** (Proof Engine, anonymized) — Proving one high-value operational workflow before expanding into a broad automation platform. Proved workflow feasibility and clarified the segment, leaving a live-team pilot as the next evidence gate. https://proofengine.studio/case-studies/ai-workflow-automation/ **Media & Marketplaces** - **CastingForm film-production marketplace** (2019, public) — An international platform connecting producers, casting teams, coaches, and actors end to end. The platform was presented at Marché du Film in Cannes in May 2019, after the reengineering engagement had ended. https://proofengine.studio/case-studies/#case-castingform - **Wapl Rune location-based AR game** (2017–2022, public) — A working location-based AR game built around shared quests, points of interest, and collective mechanics. Reached a working closed beta with more than 100 testers in December 2020; a later public release was planned but is not independently confirmed. https://proofengine.studio/case-studies/#case-wapl-rune - **Bloom local flower marketplace** (Product history, public) — A two-sided mobile marketplace connecting bouquet buyers with local flower shops. Created a complete buyer-to-florist product flow ready for implementation and market testing. https://proofengine.studio/case-studies/bloom/ - **Henry collaborative storytelling** (Product history, public) — A social product where groups create one shared multimedia story. Delivered a coherent social-product concept for creating and publishing stories together. https://proofengine.studio/case-studies/henry/ **Fintech & Crypto** - **Giga Watt mining-facility operations platform** (2017–2018, public) — One operations layer for distributed crypto-mining facilities. Created a unified operational view for site operators and owners of hosted mining equipment across facilities, devices, pools, efficiency, inventory, and customer dashboard functions. https://proofengine.studio/case-studies/#case-giga-watt-operations - **NOMP multi-currency mining pool** (2018, public) — An open-source-based mining pool redesigned to support several major currencies at device scale. Supported more than 5,000 connected mining devices across a multi-currency pool. https://proofengine.studio/case-studies/#case-nomp-pool - **Revenue-based capital platform for creators** (Proof Engine, anonymized) — Testing whether creators and capital providers would engage with a revenue-backed financing product. Narrowed the opportunity to creators with measurable recurring income and defined underwriting as the next proof gate. https://proofengine.studio/case-studies/creator-capital/ **Smart Cities & IoT** - **Smart-battery platform for medical equipment** (2022–2025, public) — A modular battery and charging system designed to keep mobile medical equipment powered and observable. Connected the requirements for 36 V, 680 Wh batteries and one-, two-, and four-battery charging stations in one implementable hardware/software roadmap. https://proofengine.studio/case-studies/#case-smart-battery - **Connected charging and access control** (2022–2025, public) — Hardware/software architecture for connected charging and access-control products, including a related computer-vision capability. Established an implementation roadmap with clear boundaries between connected devices, access control, and computer-vision integration. https://proofengine.studio/case-studies/#case-charging-station - **Geogramma smart-city operations platform** (2015–2017, public) — A modular city-management platform connecting citizen requests, municipal workflows, fleet telemetry, road maintenance, and public-space operations. Delivered modules for citizen complaints, city BPMS, fleet telemetry, street cleaning, and road-construction operations. https://proofengine.studio/case-studies/#case-geogramma - **Telecan LPWAN metering platform** (2017, public) — A Lumiot LPWAN platform for autonomous collection and cloud analysis of electricity, heat, and water-meter data. 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. https://proofengine.studio/case-studies/#case-telecan **Consumer & Hospitality** - **easy10 language-learning platform** (2013–2014, public) — A language-learning product built around ten words a day. 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. https://proofengine.studio/case-studies/#case-easy10 - **Chefmates mobile cookbook** (Product history, public) — A content-rich cookbook redesigned around how people move from discovery to cooking. Produced an end-to-end mobile product experience spanning inspiration, planning, and kitchen use. https://proofengine.studio/case-studies/chefmates/ **Real Estate & Proptech** - **Investor acquisition for a fractional property app** (2025–2026, anonymized) — Meta Ads · UK · B2C. Getting first-time property investors into an app where a stake starts at £100. 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. https://proofengine.studio/case-studies/paid-acquisition-benchmarks/ **Venture & Startup Programs** - **Founder acquisition for a startup accelerator** (2025–2026, anonymized) — Meta Ads · USA & EU · B2B. Paid acquisition of non-technical founders for an accelerator, tested down to half the starting lead cost. 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. https://proofengine.studio/case-studies/paid-acquisition-benchmarks/ **Health & Telemedicine** - **Clinic acquisition for a telemedicine platform** (2025–2026, anonymized) — Google Ads · EU · B2B. Search-driven pipeline for a telemedicine platform sold to clinics, where one deal is worth €15,000. 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. https://proofengine.studio/case-studies/paid-acquisition-benchmarks/ - **Therapist acquisition for a VR therapy app** (2025–2026, anonymized) — Meta Ads · USA · B2B. Selling a VR hypnotherapy tool to practising psychotherapists, where video did the work static could not. 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. https://proofengine.studio/case-studies/paid-acquisition-benchmarks/ **Enterprise & Public Sector** - **Mission-critical telecom telemetry and accounting** (2021–2024, anonymized) — Real-time telemetry, accounting, and OLAP for a top-three telecommunications provider. Cut cloud infrastructure cost fourfold while preserving the operational data flows the business relied on. https://proofengine.studio/case-studies/#case-telecom-telemetry **Legal & Professional Services** - **Legal operations AI workflow pilot** (Proof Engine, anonymized) — A controlled legal-operations workflow replacing fragmented AI experimentation. Created a measurable pilot path with accuracy, review time, adoption, and exception handling as explicit success criteria. https://proofengine.studio/case-studies/legal-ops-ai/ Client names, logos, and identifiable project names are intentionally withheld. --- ## Who It Is For Best fit: - Serious founders with a real product thesis - Experienced operators preparing to become founders - Post-MVP teams with weak traction - Seed to Series A B2B or technical companies - Mature companies launching new initiatives - Funds, syndicates, venture studios, and partners Not a fit: - Teams looking for the cheapest development capacity - First-time founders with no budget, urgency, or concrete decision - Companies that want paid ads without revisiting product, offer, or funnel logic - Buyers who want a fixed spec shipped without questioning the product logic --- ## FAQ **Are you still a validation studio?** Validation is still central, but it is no longer the only offer. Proof Engine uses validation as the operating philosophy across product, engineering, GTM, market entry, and partner work. **Are you a dev shop?** No. We can build software, but the build is always tied to a user, workflow, market, or business decision — not generic build-to-spec delivery. **Do you do marketing?** We do GTM work where product, offer, channel, and market learning need to stay connected. We run paid channels — Meta and Google Ads among them — when the point is to test ICP, offer, and message against real demand, as in the paid demand tests above. We do not sell disconnected ad management or ad-buying retainers. **Do you guarantee customers or pilots?** No. We design work to generate credible signal, customer conversations, pilot opportunities, and decision quality. We do not guarantee revenue or fundraising. **How does pricing work?** The minimum engagement is $4,500, covering a two-to-four-week scope. Everything beyond that is scoped per situation, because a validation sprint, a V1 build, an AI workflow, a first-customer program, and a partner engagement carry very different levels of effort. Larger builds, programs, and partnerships usually start with a short paid discovery that produces a clear plan. **Who owns the code and IP?** The client. IP for everything built under a paid engagement transfers to the client. Proof Engine may describe the work afterwards, but only anonymized or with the client's explicit permission. **Where is Proof Engine based?** Two core locations: Buenos Aires, Argentina and Belgrade, Serbia. Between them the team covers American and European working hours, extended by a senior bench of contractors and advisors. --- ## Site Map - https://proofengine.studio/ — home: positioning, stage router, evidence loop, offer families - https://proofengine.studio/offers/ — full offer catalog - https://proofengine.studio/validate/ · /build/ · /grow/ · /scale/ · /partners/ — offer families - https://proofengine.studio/offers// — 18 individual offer pages (see Offer Families above) - https://proofengine.studio/methodology/ — evidence loop and proof standards - https://proofengine.studio/case-studies/ — filterable catalog of 25 anonymized proof patterns - https://proofengine.studio/case-studies// — 7 full case pages: creator-capital, ai-sales-assistant, ai-workflow-automation, legal-ops-ai, henry, bloom, chefmates - https://proofengine.studio/case-studies/paid-acquisition-benchmarks/ — real cost per lead from four paid tests, with methodology - https://proofengine.studio/capabilities/ — capability map and routing - https://proofengine.studio/about/ — team and operating model - https://proofengine.studio/contact/ — intake form (primary conversion) - https://proofengine.studio/privacy/ — privacy policy ## Team Founded by Kirill Artsymenia (founder) and Anton Griev (co-founder); a focused core team extended by a senior operating bench of contractors and advisors across engineering, design, AI, cloud, data, and GTM. Based in Buenos Aires, Argentina and Belgrade, Serbia.