01
Slow shipping
Roadmaps slip between vendors. One in-house team builds, launches and iterates in short cycles.
SaaS & Startups
Build the product. Then build the pipeline.
MVP, AI features, integrations and go-to-market — delivered by one team so you are not managing four vendors and a handover document.
90
Days to production MVP
40%
Faster feature delivery
100+
Integrations shipped
30%
Lower blended CAC
Direct answer
Startups need shipped software and a repeatable acquisition motion at the same time. AKESTECH builds SaaS platforms, AI and LLM products, web and mobile apps and integrations, then runs performance marketing, landing pages, analytics and lifecycle automation against the product we shipped.
What we solve
The problems that actually hold you back.
02
No clear ICP
Messaging misses. We test positioning, offers and channels against real acquisition data.
03
Weak activation
Sign-ups do not convert. Onboarding journeys and in-product automation drive activation.
04
Unreliable analytics
You cannot improve what you cannot see. Clean event tracking and dashboards come first.
How we help
Capabilities we deploy for you.
How we work
One connected system, end to end.
01
Product discovery
We scope the problem, users, constraints and success metrics, then agree the smallest version worth shipping to real users.
02
Architecture and design
Data model, integrations, AI components and interface designed before the first line of production code is written.
03
Build in sprints
Working software shipped in short cycles, with something you can actually click through at the end of each one.
04
Launch and instrument
Production release with analytics, error monitoring and the admin tooling your team needs to operate the product.
05
Growth and handover
Acquisition and lifecycle systems added, with documentation and hiring support as your own team takes ownership.
FAQ
Questions about SaaS & Startups.
Yes. We scope a focused first release and ship in short increments, with something demonstrable every two weeks.
Yes — LLM features, retrieval over your own data, agents and workflow automation inside products you already run.
Yes. Performance marketing, landing pages, analytics and lifecycle automation are handled by the same team that built the product.
You do. Everything we build is handed over with documentation and repository access.
An AI-native product treats models as part of the core architecture rather than a feature added later: retrieval over your own data, agents that complete multi-step tasks, evaluation and guardrails in the development loop, and human review paths for anything consequential. We design and ship these end to end, from prototype to production.
Engagements normally run as a fixed-scope MVP or a monthly product team, depending on how settled the requirements are. A fixed-scope MVP suits founders who need to validate quickly; a monthly team suits companies past product-market fit who are shipping continuously. We confirm the structure and scope in writing before any work starts.
Yes. We implement subscription billing and metering, single sign-on and role-based access, product analytics and event tracking, and the admin tooling your team needs to operate the product without engineering help for routine tasks.
Yes. Every engagement includes documented architecture, runbooks, code walkthroughs and, where useful, support during hiring. The aim is that your own team can own and extend the product confidently rather than staying dependent on us.
Next step
Let's build your saas & startups growth system.
Tell us where you are today. We'll come back within one business day with the three biggest opportunities we can see.