Frequently Answered Questions

Launch Studio is our founding-team practice for idea-stage and pre-product founders. We build the production website, engineer the complete MVP across web, mobile, fintech, or Web3, conduct Africa-first GTM research, and execute initial customer acquisition within a 10 to 16-week window. GTM Engineering is for companies with an active product and historical pipeline data. We diagnose systemic revenue bottlenecks, rebuild CRM and RevOps infrastructure, calibrate pricing, and deploy predictable outbound and partnership loops.

Strata’s core platform is an autonomous Answer Engine Optimization (AEO) and knowledge graph engine (/pipeline). Launch Studio builds products and launches them into the market; GTM Engineering structures the commercial revenue architecture to scale them. Both practices feed directly into Strata’s AEO data layer, ensuring client platforms surface as definitive, zero-click answers across AI discovery engines (Perplexity, ChatGPT, Claude, and Gemini).

Founders who complete a Launch Studio engagement transition into GTM Engineering with zero context loss. Because our engineers built your codebase, database schemas, and early ICP positioning, our revenue team does not need weeks of discovery to begin scaling. We transition your product directly from initial 100 transacting customers into compounding enterprise revenue systems.

Marketing agencies optimize for campaign activity, ad impressions, and vanity leads. Dev shops write code against tickets without commercial strategy. GTM Engineering treats revenue as an interconnected system. We align positioning, ICP qualification, pricing tiers, CRM pipelines, outbound cadences, and customer expansion into a single repeatable engine. We build infrastructure that your team owns permanently.

The Diagnostic Audit is a fixed-scope engagement priced at $3,000 USD completed in two to three weeks. We conduct a forensic audit across pipeline velocity, win/loss patterns, ICP fit scoring, pricing calibration, and activation leakage. Benchmarked against named competitors, the deliverable is a prioritized friction ledger identifying the exact system bottlenecks blocking revenue growth.

Every GTM Engineering engagement maps against Strata’s proprietary sequence: Market, Positioning, ICP, Acquisition, Conversion, Activation, Retention, and Revenue. We systematically resolve bottlenecks upstream (such as positioning mismatch or mispriced tiers) before scaling outbound acquisition, preventing capital leakage.

All engagements enter through the Diagnostic Audit ($3,000 USD). Based on the friction ledger, clients choose from three structures: 1. Project-Based Build (8 to 13 weeks for a phased rebuild of positioning, pricing, CRM, and outbound); 2. Fractional GTM Engineer (monthly retainer for ongoing hands-on systems leadership); or 3. Embedded Revenue Lead (6 to 12-month full-time placement with pipeline accountability).

Across our published case studies in cross-border payments, digital assets, and enterprise AI (including OneDosh, Orokii, and Cohorte), Strata has delivered a 25% reduction in capital waste through clean cohort attribution, a 30% compression in enterprise sales cycle duration, a 3.5% sustained cold outbound reply rate from technical C-suite buyers, and 20% year-over-year acquisition growth.

We re-architect HubSpot and Salesforce CRM schemas, lifecycle stage progression rules, and lead qualification scoring. We integrate automated enrichment pipelines using Clay, Apollo, and Apify, orchestrated with Make and webhook endpoints, ensuring real-time attribution from first touch to closed revenue.

No. Launch Studio is specifically built to serve as your complete technical and commercial founding team. We handle architecture, software engineering, database design, API integrations, and cloud deployments. You focus on market relationships and executive governance.

Yes, completely. All source code repositories, deployment pipelines, cloud configurations, design systems, and documentation are transferred 100% to the founder upon milestone completion. Strata takes zero equity and retains zero intellectual property rights.

We engineer production-grade applications across modern architectures: Web applications in Next.js, React, TypeScript, and Node.js; mobile apps in Flutter and React Native (iOS and Android); backends in Supabase, PostgreSQL, Redis, and Firebase; fintech integrations with Paystack, Flutterwave, Stripe, and NIBSS virtual accounts; and on-chain systems in Solidity on Base L2.

Engagement timelines depend on the selected commercial tier: Tier 1 (Web Presence Sprint) takes 2 to 4 weeks; Tier 2 (Launch Package with GTM Research) takes 4 to 6 weeks; Tier 3 (Full Studio Engagement covering Web, MVP, GTM Research, and First 100 Customers) takes 10 to 16 weeks. We execute engineering and market research in parallel sprints, achieving market readiness three times faster than fragmented teams.

In Pillar D (Launch Execution), we build the customer acquisition system alongside the product. This includes high-converting waitlist loops, automated outbound campaigns targeted at high-intent buyers, founder authority positioning, and ecosystem distribution partnerships. We track users through onboarding until the first 100 transacting or activated accounts are verified.

Strata operates globally. We possess deep operational experience in African markets (Nigeria, Kenya, South Africa, and regional settlement corridors), making us an ideal partner for foreign ventures launching into Africa, as well as African founders building global products across the UK, Europe, and North America.

Yes. As documented in our African Settlement Reference Build (/services/launch-studio/archetypes/fintech-cross-border), we engineer immutable double-entry PostgreSQL ledgers with zero balance variance, integrate NIBSS instant payment virtual accounts, automate Tier-3 KYC verification, and connect payment rails across Paystack, Flutterwave, and cross-border stablecoin corridors.

As detailed in our Enterprise AI Reference Blueprint (/services/launch-studio/archetypes/enterprise-ai-rag), we deploy hierarchical Abstract Syntax Tree (AST) document chunking with PostgreSQL pgvector hybrid search. An adversarial verification loop checks every synthesized response against original document embeddings before rendering, eliminating generative hallucination in legal and financial contexts.

Our on-chain engineering focuses on Base L2 and Ethereum ecosystems. We architect permissioned ERC-3643 and ERC-1400 security token contracts, Chainlink Proof-of-Reserve oracle attestations, and ERC-4337 account abstraction portals, allowing institutional investors to interact with yield-bearing assets using standard bank rails and smart contracts.

Traditional SEO targets keyword density and backlinks to rank in Google’s ten blue links. Answer Engine Optimization (AEO) structures your technical architecture, product specifications, and positioning claims into machine-readable semantic knowledge graphs. When conversational AI models and answer engines (Perplexity, ChatGPT, Claude, and Gemini) synthesize responses to high-intent buyer queries, your platform is cited as the definitive, zero-click baseline answer.

Every content deployment and architectural schema is cryptographically hashed and anchored to Base L2. This provides an immutable, timestamped record proving authorship and existence at a specific block height. For institutional Web3 protocols, RWA issuers, and financial infrastructure layers, this provides indisputable data provenance when search agents and regulators audit technical claims.

Pricing is structured cleanly by engagement type: 1. GTM Engineering starts with the standardized $3,000 USD Diagnostic Audit, followed by transparent project-based or monthly retainer tiers; 2. Launch Studio engagements are scoped per project across Tiers 1 through 4 depending on platform requirements (web, mobile, or smart contracts); 3. The autonomous AEO software platform is available via tiered monthly compute plans (Foundation Node at $1,500/mo and Growth Architect at $3,800/mo).

Every autonomous action carries a direct compute expense (deep research, vector embeddings, and cryptographic blockchain anchoring). A free tier would force paying clients to subsidize infrastructure for non-converting users, degrading service performance. More importantly, zero-price entry psychologically devalues the authority the engine is built to establish. Strata offers structured, credit-bound trials to serious operators; we do not subsidize passive footprint.

Growth Architect ($3,800/mo) is our flagship operational blueprint: 50 active deployments, 150,000 compute credits, real-time blockchain verification, and continuous Competitor Vampire Mode for aggressive market expansion. Foundation Node ($1,500/mo) is a controlled footprint for single-domain presence: 15 deployments, 35,000 credits, and monthly batch verification. A single deployment consumes approximately 2,120 credits across research, generation, editor critique, and on-chain anchoring.

Every account receives a monthly allocation calibrated to deployment volume. A full autonomous run (research, generation, editor critique, and L2 anchoring) consumes roughly 2,120 credits. Once your allocation is exhausted, the engine pauses. You can purchase additional credit packs directly from your dashboard starting at $25 for 2,500 credits. Growth Architect accounts can enable automatic top-ups to charge the card on file when the balance falls below 10%.

Vampire Mode is Strata’s continuous competitive intelligence pipeline. Headless browsers ingest and map your competitors’ entire domain architecture. This raw text is analyzed by our model cluster to identify semantic gaps, structural weaknesses, and high-intent opportunities. When a competitor publishes new content, Strata detects it, parses the strategic context, and queues an authoritative counter-brief for your approval.

Standard tiers route LLM queries through secure public APIs. The Master Architect tier deploys completely isolated infrastructure via AWS Bedrock or Google Cloud Vertex AI. Your data (competitor strategies, code bases, and financial projections) never touches a public endpoint. This architecture is designed for SOC2 compliance, RWA tokenization protocols, and institutional privacy requirements.

We work with founders, technical operators, and executive teams across B2B SaaS, fintech, cross-border payments, decentralized infrastructure (Web3/RWA), and enterprise AI who value clinical engineering over marketing hype. We reject pre-product teams seeking one-off paid ad runs with no underlying systems, founders with undefined concepts, and teams requesting speculative, unpaid agency work.