Three Ways to Work with TechEniac
Every business has unique goals, timelines, and technical challenges. A startup building its first AI product has different needs than an established company scaling existing platforms or integrating AI into its operations.
Three Models. One Set of Principles.
A pre-seed founder validating an AI MVP has different needs than a Series A company scaling to 100K users. A solo non-technical founder needs a full team. A founder with three in-house engineers needs specialised AI expertise. Across 15 production AI SaaS products and partnerships averaging 2+ years, these three models have served founders from first line of code through to platforms serving 25,000+ healthcare providers, 10,000+ creators, and 120+ enterprise clients.
Model 01
Dedicated Team
A full TechEniac engineering team assigned exclusively to your project. You get a complete squad frontend, backend, AI/ML, and DevOps managed by a TechEniac project lead who coordinates sprints, manages delivery, and serves as your single point of contact. The team works in your timezone overlap, pushes to your repository, and follows your development processes.
Who This Is For?
Founders building a new AI SaaS product from scratch who need a complete engineering capability. Non-technical founders who need TechEniac to handle architecture decisions, technology selection, and engineering execution end-to-end. Founders who want a long-term engineering partner, not a one-time vendor.
What You Get?
A team of 4-6 dedicated engineers selected based on your project's technology requirements. A project lead who manages sprint planning, daily coordination, and delivery tracking. Weekly sprint demos where you see working software deployed code, not presentations. Architecture ownership TechEniac designs the system architecture and makes technology decisions, with founder input at every review gate. Full IP ownership all code is written in your repository from Day 1.
When to Choose?
You are building a new product from scratch and need end-to-end engineering capability. You are a non-technical founder and need TechEniac to own architecture and technology decisions. You want a long-term engineering partner who grows with your product. You need 4+ engineers working full-time on your project. Examples: SolidHealth AI, TalentSync AI, PatientFlow AI, Linkfluencer, BrandVoice AI.
Model 02
Project-Based
A defined scope of work with fixed deliverables, timeline, and budget. TechEniac assigns a team for the duration of the project, delivers the agreed scope, and the engagement concludes upon delivery. This model works when the scope is well-defined and the founder needs predictable cost and timeline.
Who This Is For?
Founders with a clearly defined project scope an MVP with specified features, a specific integration, a defined architecture migration, or a performance optimization engagement. Founders who need budget certainty a fixed price for a fixed deliverable. Founders who already have an in-house team for ongoing development but need TechEniac for a specific project that exceeds their team's expertise or capacity.
What You Get?
A detailed project proposal with scope, deliverables, timeline, and fixed price agreed before work begins. A dedicated team for the project duration (no shared resources). Sprint demos throughout the project. Comprehensive documentation and knowledge transfer at project completion. 30 days of post-delivery support for bug fixes and minor adjustments.
When to Choose?
You have a clearly defined scope with specific deliverables and a deadline. You need budget certainty a fixed price for a fixed outcome. You already have an engineering team for ongoing work and need TechEniac for a specific project. The project has a natural end point (MVP launch, integration delivery, architecture migration).
Model 03
Team Extension
Dedicated TechEniac engineers embedded inside your existing team. They join your Slack, attend your standups, push to your repository, and follow your coding standards. They are not contractors working in a separate environment they are extensions of your engineering team who happen to bring specialised expertise in AI, scaling, or specific technology domains.
Who This Is For?
Founders with an existing engineering team of 2-5 developers who need specialised skills they do not have in-house AI/ML engineering, LangChain/LangGraph expertise, Kubernetes/DevOps, or performance optimization. Founders who need to scale engineering capacity quickly without the 2-3 month recruiting timeline for full-time hires. CTOs who want to augment their team with senior engineers for a specific initiative (AI feature, architecture migration, scaling project) without committing to permanent headcount.
What You Get?
1-3 dedicated TechEniac engineers selected based on the skills your team lacks. Full integration with your existing workflows same Slack channels, same Jira board, same repository, same PR review process. Engineers available during your working hours (time zone overlap managed based on your location). Direct communication between your team and TechEniac engineers no project manager relay. Knowledge transfer built into the engagement TechEniac engineers document their work and train your in-house team on new capabilities.
When to Choose?
You have 2-5 in-house engineers and need specialized skills they do not have. You want to scale capacity without the 2-3 month recruiting timeline. Your CTO or tech lead wants to manage the combined team directly. You need flexibility to scale engineers up or down month-to-month.
Not Sure Which Model Fits?
Whether you’re building from scratch, scaling your team, or accelerating an existing product, we’ll help you choose the engagement model that best aligns with your goals, timeline, and budget. Let’s find the right fit book a free consultation today.