Building intelligent software products.
Thoth Technologies is a small senior product engineering team for founders and operators building AI-enabled products, internal systems, and technical infrastructure.
Operating model
Product thinking, technical architecture, and senior execution in one continuous delivery loop.
Define
Shape the product, scope, constraints, and success criteria.
Architect
Design the AI, platform, data, and integration paths.
Ship
Build the usable version, deploy it, and learn from real use.
Delivery pace
Weeks, not months.
A usable first version, shipped by a senior team with product, design, and engineering kept in one loop.
Track Record
Senior delivery across products, AI systems, and infrastructure — including work kept under NDA.
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- Products & systems delivered
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- Industries and product domains
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- Public-ready case studies
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- Confidential engagements
Product guidance
Still unsure what your product should be? We can help shape the first version.
You do not need a perfect brief before talking to us. Our team brings product experience into the initial phase, helping clarify what to build, what to leave out, and how to get to a usable first release. Initial consultation and quotations are free.
Product-Led
We think through business goals, user needs, and product direction before writing code.
AI-Native
We design AI systems where they create real operational leverage, not as a decorative feature.
Senior Execution
Clients work with experienced product engineers who can move from strategy to architecture to implementation.
Services
What we build
Product Strategy
Discovery workshops, PRDs, MVP scoping, technical feasibility, product roadmaps.
Product + engineering delivery
AI Systems
RAG systems, internal copilots, workflow automation, document intelligence, agentic workflows.
Product + engineering delivery
Product Engineering
Web apps, SaaS platforms, APIs, dashboards, internal tools, cloud infrastructure.
Product + engineering delivery
Web3 Infrastructure
Smart contracts, token launch systems, analytics pipelines, automation, protocol tooling.
Product + engineering delivery
Fractional Product Team
Ongoing product, engineering, and technical leadership for teams without in-house capacity.
Product + engineering delivery
Engagements
Clear ways to start, from product definition to retained execution.
You do not need a perfect brief. The first step is choosing the right engagement shape for the problem, risk, and timeline.
Product Discovery Sprint
01Best for
Founders or operators with a promising idea but unclear scope.
Outcome
A sharper product direction, MVP definition, and technical execution plan.
Typical: 1-2 weeks
AI Workflow Build
02Best for
Teams with repetitive document, support, knowledge, or operations work.
Outcome
A working AI-assisted workflow with retrieval, automation, and review loops.
Typical: 3-6 weeks
MVP / SaaS Build
03Best for
Teams that need a senior product team to ship the first usable version.
Outcome
Production-ready web app, API, dashboard, auth, data model, and deployment.
Typical: 6-10 weeks
Internal Systems Retainer
04Best for
Operators who need ongoing product engineering without hiring a full team.
Outcome
Continuous delivery across internal tools, automations, integrations, and data.
Typical: Monthly
Experience
Selected work, shared responsibly
Serious product work often involves proprietary systems, internal tools, or pre-launch products. We publish client details with permission and summarize confidential work responsibly.
Capabilities
Strategy, AI, product engineering, and infrastructure under one roof.
Product
AI systems
Platform
Infrastructure
Labs
Internal R&D before client delivery.
Labs is where we pressure-test workflows, starter systems, and prototypes before adapting them to client environments.
Process
Strategy first. Build immediately after.
Discover
Understand the business problem, users, constraints, and success metrics.
Define
Convert ideas into product requirements, technical architecture, and execution roadmap.
Build
Ship the smallest useful version with clean engineering and fast feedback loops.
Iterate
Improve based on real usage, analytics, and business outcomes.
Have a product idea or internal workflow worth automating?
Tell us what you are trying to build. We can help shape the product, validate the scope, and ship the first version.
FAQ
Practical answers before the first call.
Can you work under NDA?
Yes. Many engagements involve proprietary workflows, unreleased products, internal data, or sensitive infrastructure. We can keep work fully private.
Do you only build AI products?
No. AI is useful when it creates leverage. We also build conventional SaaS products, dashboards, APIs, internal tools, and infrastructure.
Can you take over an existing codebase?
Yes, when the codebase is healthy enough to move safely. We usually start with a short technical review before committing to delivery scope.
How do projects usually start?
Most start with a focused discovery call, then a scoped first phase: product definition, prototype, MVP build, or retained execution.