Building intelligent software products.
Thoth Technologies is a small senior product engineering team for growing companies and teams building AI-enabled products, internal systems, and technical infrastructure.
Operating model
The people shaping the product are the same people making the technical decisions and shipping the release.
Define
Shape the product, scope, constraints, and success criteria.
Architect
Choose the platform, data model, AI approach, and integration paths.
Ship
Build the first usable release, deploy it, and learn from real use.
Delivery pace
Weeks, not months.
A usable first version, shipped by the same senior team that scopes, designs, builds, and deploys it.
Track Record
Work across SaaS, recruitment, knowledge systems, Web3 launch tooling, and internal operations, including projects kept under NDA.
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- Products and systems shipped
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- Product domains covered
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- Senior-built, end to end
Where projects start
Not sure exactly what to build yet? We scope it with you, then build it.
You don't need a written spec or a technical background. Bring the messy version — notes, calls, spreadsheets, diagrams, or just the problem — and we turn it into a scoped first release, flag what can wait, and ship a practical first version. Initial consultation and quotations are free.
Product-Led
We define the user, workflow, success metric, and first release before committing engineering time.
AI-Native
We use AI where it can remove manual review, retrieve knowledge, draft work, or speed up decisions.
Senior Execution
The same team scopes the product, designs the architecture, writes the code, and ships the release.
Services
What we build
Product Strategy
Turn rough ideas into MVP scope, user flows, technical tradeoffs, release plans, and build estimates.
Product + engineering delivery
AI Systems
Build document search, support assistants, internal copilots, extraction workflows, and evaluation loops.
Product + engineering delivery
Product Engineering
Ship SaaS apps, dashboards, APIs, auth, databases, admin tools, and production deployments.
Product + engineering delivery
Web3 Infrastructure
Create launch tools, contract integrations, token workflows, activity dashboards, and protocol automation.
Product + engineering delivery
Fractional Product Team
Add senior product and engineering capacity without hiring a full internal team.
Product + engineering delivery
Engagements
Clear ways to start, from product definition to retained execution.
Choose the starting point that matches your current risk: unclear scope, repetitive work, first product build, or ongoing internal systems.
Product Discovery Sprint
01Best for
A growing company or team 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 tool that retrieves context, drafts or extracts work, and keeps humans in review.
Typical: 3-6 weeks
MVP / SaaS Build
03Best for
Teams that need a senior product team to ship the first usable version.
Outcome
A deployed product with login, core workflows, data model, admin views, and usage tracking.
Typical: 6-10 weeks
Internal Systems Retainer
04Best for
Teams that need ongoing product engineering without hiring a full team.
Outcome
A steady backlog shipped across internal tools, automations, integrations, and reporting.
Typical: Monthly
Capabilities
The pieces needed to scope, build, and operate the first serious version.
Product
AI systems
Platform
Infrastructure
Build accelerators
We rarely start from zero.
We keep reusable product patterns ready for common work: RAG systems, hiring workflows, internal dashboards, product scoping, and Web3 reporting. That lets us spend less time on boilerplate and more time adapting the system to your business.
Turns a rough idea into users, scope, feature cuts, risks, and an MVP plan.
Reusable patterns for resume parsing, candidate search, shortlists, outreach, and recruiter dashboards.
A foundation for document upload, chunking, search, citations, and answer generation.
Dashboard patterns for wallet activity, launch events, transactions, and protocol usage.
Search and answer flows for SOPs, policies, transcripts, and internal operating documents.
Process
Strategy first. Build immediately after.
Discover
Understand the business problem, users, constraints, and success metrics.
Define
Convert the idea into user flows, product requirements, architecture, and a build plan.
Build
Ship the smallest useful version with clean engineering and fast feedback loops.
Iterate
Use customer feedback, analytics, and operational data to decide what changes next.
Have a product idea or internal workflow worth automating?
Send the rough version of the idea, workflow, or internal problem. We will help turn it into scope, tradeoffs, and a first release plan.
The first conversation is free — and we'll tell you honestly if we're the right fit.
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 speeds up review, search, drafting, extraction, or decisions. We also build SaaS products, dashboards, APIs, and internal tools.
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.