Towerhousestudio

Approach and advantages

• Nearshore collaboration with teams aligned to U.S. time zones
• AI technology used to augment human expertise and improve speed, accuracy, and innovation
• Senior technical judgment and AI-supported analysis
• Simple, direct payments through a U.S. bank account
• The legal reassurance of working with a U.S.-based LLC

Development approach

TowerHouse Studio's process includes:

1. Discovery and analysis
2. Rapid prototyping
3. Agile development
4. Continuous improvement

Services include:

• Machine learning models: Predictive analytics, classification systems, and recommendation engines
• Conversational AI: Customer support bots, voice assistants, and multilingual support
• Computer vision: Object detection, image classification, and quality control
• Data intelligence: Pattern recognition, anomaly detection, and forecasting models
• Process automation: Document processing, decision automation, and workflow intelligence
• AI integration: API development, system integration, and performance optimization

Technologies

The studio works with technologies and frameworks including TensorFlow, PyTorch, OpenAI GPT, Hugging Face, LangChain, Anthropic Claude, Google Vertex AI, AWS SageMaker, Azure AI, Pinecone, Weaviate, and FastAPI.

AI development process

• Discovery and analysis: 1–2 weeks to assess business needs, data, and opportunities
• Strategy and design: 2–3 weeks to create the AI strategy, technical specifications, and roadmap
• Development and training: 4–12 weeks to build, train, and optimize models
• Deployment and optimization: Ongoing monitoring, improvement, and support

Project timelines vary by complexity. A proof of concept may take 2–4 weeks, while a full-scale enterprise AI solution may take 3–6 months.

Post-deployment support

TowerHouse Studio provides model monitoring, performance optimization, updates, and maintenance. AI solutions can be integrated with existing infrastructure, including legacy systems and modern cloud platforms. Data processing can be performed on-premises or in secure cloud environments, with encryption, data-handling best practices, and support for regulations such as GDPR and HIPAA.

This offer is intended for startup founders launching a first or second product, teams validating ideas with real users, and founders who value speed, clarity, and communication. It is not intended for idea-only conversations or "as cheap as possible" builds.

What is included

Every build includes:

• Senior-led product definition
• Technical architecture and scaling plan
• Clean, high-performance code
• Mobile-responsive design
• Production-ready deployment
• Security and input validation standards
• AI-accelerated delivery workflows

MVP tiers

Operational MVP: $10,000–$20,000

Designed for a focused, usable product that can be operated, managed, and grown. Features may include authentication, onboarding, user management, content or data management, core business logic, a basic admin panel, database design, API setup, and deployment-ready configuration.

Growth MVP: $18,000–$45,000

For products requiring multiple roles, complex workflows, or monetization. This tier can include advanced dashboards, moderation or approval flows, payments or subscriptions, third-party integrations, AI-powered features, data processing, additional testing, and phased milestones.

Final pricing is confirmed after a short discovery. TowerHouse Studio does not charge hourly rates; it prices outcomes.

Process

1. Discovery and alignment: Clarify goals, scope, assumptions, and success criteria.
2. Design and architecture: Define the technical approach before development.
3. AI-accelerated development: Build with AI-assisted workflows and human oversight.
4. Review and launch: Test, stabilize, and prepare the MVP for real users or demos.

Ongoing services can include product iteration, maintenance and monthly support, infrastructure scaling, strategic technical consulting, and phased global rollout.

This service is for founders with half-built products, startups whose development teams are not delivering, agencies taking over troubled projects, teams facing missed deadlines or technical debt, and businesses deciding whether to fix, rebuild, or replace a product. It is not for greenfield builds or exploratory ideas.

Rescue Audit

The fixed-price audit includes:

• Codebase and architecture review
• Assessment of data models and integrations
• Review of deployment and infrastructure
• Identification of technical debt and risks
• Explanation of what can be salvaged
• Practical options, trade-offs, and next steps

The audit provides clarity and a concrete plan, even if the client does not continue with TowerHouse Studio. It is mandatory because failing projects often hide complexity. TowerHouse Studio does not offer free assessments or fixed rescue quotes without a review.

Stabilization and takeover

After the audit, TowerHouse Studio may bring the product back to a stable, operable state. Work can include fixing critical bugs and blockers, cleaning up architecture, securing deployments and environments, and establishing a delivery process. Stabilization and takeover starts at $6,500, with scope and pricing defined after the audit.

TowerHouse Studio does not guarantee that every project can be saved. If rebuilding is the smarter option, the audit helps identify that decision. The company may replace a previous team, or stabilize the product and support knowledge transition.

Automation projects start at $5,000. An AI Ops Audit costs $2,500. Agencies typically begin with an audit, implement one automation, and expand as additional bottlenecks appear.

What can be automated

Examples include:

• Client onboarding workflows and automated intake
• Internal dashboards and admin tools
• AI-assisted content processing and CMS automation
• Approval and publishing workflows
• Automated reporting and data aggregation across tools
• AI-assisted insights and summaries
• Knowledge base tools and internal AI assistants trained on company documents
• QA and validation workflows

AI Ops Audit

The fixed-price audit reviews one or two core agency workflows and includes:

• Identification of automation opportunities
• ROI and effort assessment
• One small working proof of concept
• A clear implementation roadmap

Implementation pricing

Automation projects generally range from $5,000 to $30,000, depending on the number of workflows, integrations, logic complexity, and use of AI. Each implementation is scoped around one or more high-impact processes, and TowerHouse Studio prices outcomes rather than hours.

Process

1. AI Ops Audit: Analyze workflows, bottlenecks, and opportunities.
2. Scope and solution design: Define what will be automated, what remains manual, and how success is measured.
3. Build and integrate: Implement the solution with existing systems.
4. Test and rollout: Validate workflows and prepare the team to use them.

The service is designed around custom agency workflows rather than generic templates, off-the-shelf tools, or no-code hacks.