THE STUDIO

Built for work that has to hold up.

Tiercel Labs is a small engineering company for AI and software that has to earn its place in a real business. Not a slide. Not a pilot that dies in a folder. Software people can run.

✳ WHY WE EXIST

Most AI work fails the same way. Someone sells a vision. A prototype looks clever in a demo. Then the real constraints arrive: messy data, permissions, cost, edge cases, the people who actually have to use the thing. The project stalls. The deck survives. The business does not get better.

We started Tiercel Labs to do the opposite of that pattern. Find where AI or better software actually helps. Build the useful part with senior ownership. Leave a system a team can operate without us. The studio is intentionally small so the work stays close to the code and the outcome stays owned.

We are not a staffing firm, a slide agency, or a black-box vendor. We are a delivery studio. You bring a problem with real constraints. We bring judgment, engineering, and a clear path from question to working software.

WHAT WE DO

AI and software that survives contact with the business.

The work sits at the intersection of product judgment and engineering craft. We put models into products and internal tools when they earn it, and we build the software around them when that is the harder part.

AI in products

Features that use models where they create leverage: generation, classification, retrieval, assistance. Grounded in product constraints, not model fashion.

Internal systems

Tools for operators and teams: workflows, review loops, audit trails, and interfaces that make AI usable inside real process.

The software around it

APIs, data paths, auth, observability, and handover. The unglamorous work that decides whether a system lasts past the first week.

HOW THE STUDIO RUNS

A deliberate operating model.

Authority comes from how work is owned. Our model is simple on purpose. One senior engineer. Fixed-scope starts. Visible decisions. Software you keep.

One owner, end to end

Discovery, architecture, implementation, and handover stay with the same engineer. You do not brief one person and get delivered by another. Scope, code, and tradeoffs live in one place. Accountability is not a process diagram. It is a person.

Proof before promise

Engagements begin as fixed-scope sprints with a clear outcome. You evaluate working software before anyone discusses a longer relationship. If the sprint does not earn the next step, that is a useful answer. We would rather stop early than invent momentum.

Systems, not demos

Models are tools. The product is the workflow, the interface, the data path, the permissions, and the failure modes around them. We design for the day something goes wrong, not only for the day it looks clever.

Handover as craft

Code, documentation, and next steps are part of delivery. The studio is designed to leave, not to linger. You should finish an engagement with software you understand and a plain plan for what comes next.

PRINCIPAL

Raffay Sajjad

Founder · Engineer · Delivery lead

The person you brief is the person who designs, builds, and stands behind the work. That is not a slogan. It is how Tiercel Labs runs.

Raffay leads every engagement from the first call through handover: framing the problem, choosing the architecture, writing the critical path, and leaving the system in a state a team can run.

Background includes technical leadership at Trafilea across architecture, delivery, experiments, and production systems; shipping Finly AI (heyfinly.com) end to end — mobile, backend, infrastructure, and analytics — now live on the App Store and Google Play; and the practical work of putting AI into day-to-day workflows where reliability matters more than novelty.

Focus: AI products, internal tools, and the software around them
Products: Finly AI — private expense tracker (iOS, Android, web)
Shape: Founder-led studio. No account layer. No junior bench.
Standard: Clear scope. Working software. Clean handover.
Mode: Remote-first delivery with US legal entity

BELIEFS

What we will not pretend.

Useful over impressive

A narrow system in daily use beats a broad demo that nobody trusts. We optimize for adoption and reliability, not for applause in a kickoff meeting.

Constraints before models

Data quality, permissions, cost, latency, and failure modes come first. Model choice is downstream of the problem. Sometimes the honest answer is a simpler workflow without a model at all.

Decisions in the open

Tradeoffs are shown while the work is happening. You should never learn the important constraints in a postmortem. Visibility is part of craft.

Ownership stays with you

You keep the code, configuration, and runbooks. No lock-in dressed up as partnership. If we did the work well, your team can continue without us.

Fewer engagements, higher care

Capacity is limited on purpose. We take work we can own properly. That is how quality stays high and timelines stay honest.

AI is a tool, not a strategy

Strategy is the business outcome. AI is one way to get there. We will say when it helps and when it does not.

WHO WE WORK WITH

Founders, operators, and product teams with real constraints.

The best fits are teams that already feel the pain. They do not need another vision workshop. They need a senior owner who can turn a fuzzy opportunity into working software.

Founders

Early product teams that need AI or core software shipped without building a large engineering org first.

Operators

Leaders with messy internal processes who want automation, review loops, and tools their teams will actually use.

Product teams

Groups that know where AI could help, but need architecture, delivery, and a clean path into production.

If the problem is still a vague interest in AI with no constraint and no owner on your side, we are probably not the right studio yet.

ENGAGEMENT

What working together looks like.

A direct conversation

We start with the problem, the constraints, and what success would look like in the business. No discovery theatre. If it is not a fit, we say so.

A scoped sprint

Fixed scope. Fixed fee. A clear deliverable. Enough surface area to prove value, small enough to judge quickly.

Build in the open

You see progress, decisions, and tradeoffs as the work happens. Questions get answered by the person writing the code.

Handover and next steps

You receive the software, the docs, and a plain plan. Continue with us, continue with your team, or stop. The choice is yours.

STUDIO SIGNALS

How to read the company at a glance.

Engagement model

Fixed-scope engineering sprints that can grow into longer delivery when earned

Delivery

Founder-owned from first call through architecture, build, and handover

Domain

AI in products and operations, plus the full-stack software that makes it reliable

Client posture

Founders, operators, and product teams who want senior ownership, not a bench

COMPANY

Registered details.

Trust is easier when the company is concrete. These are the plain facts behind the brand.

Legal name: RAFFAY LLC
Operating as: Tiercel Labs
Jurisdiction: Wyoming, United States
Registered address: 30 N Gould St Ste R, Sheridan, WY 82801
Phone: (323) 739-1571
Email: contact@tiercel.io
D-U-N-S: 13-969-3583

ENGAGE

Bring a problem with real constraints.
We will tell you if a sprint is the right shape.

If you have a workflow, product surface, or internal system where AI or better software could matter, start with a conversation. We will be direct about fit, scope, and whether a sprint makes sense.