We Make Businesses
AI-Native.

Not a chatbot bolted on. A forward-deployed AI engineer studies how your company actually runs, pinpoints exactly where AI pays for itself, and builds it into the process. Live in weeks, not quarters.

Book an AI Opportunity Call

30 minutes with an engineer, not a salesperson. If AI isn't worth it for you yet, we tell you plainly.

We run 3 companies on AI we built8+ years shipping software$1M+ delivered

You don't hire an agency. You get an engineer inside your business.

Most AI firms sell you a tool and wave goodbye. We work the opposite way. A forward-deployed AI engineer embeds with your team, watches how the work really moves, and finds the places where hours and revenue quietly leak. Then we build AI employees to take that work over, inside the tools you already use.

Weeks 1 and 2

The engineer maps your business

Where do leads sit unanswered? Which tasks repeat every single day? What eats your team's best hours? Every process gets a number: what it costs you now and what AI would return. That map is the AI Audit. $3,000, credited in full to your build.

Weeks 3 to 6

We build your first AI employee

The fastest payback gets built first, wired into the tools you already use. It learns your process instead of forcing a new one on your team, and it asks a human before anything leaves the building.

Every week after

It clocks in. We keep score.

You see the dashboard we see: work done, hours returned, revenue recovered. When the numbers prove out, the next process goes AI-native. When they don't, we say so and stop.

Naveed Sarwar, CEO of Techloset

Naveed Sarwar, founder. He sits in on every audit, because the map is the product.

We run three companies this way. Read how

Bolt-on AI answers questions. AI-native runs the process.

Your growth engine

AI sets up and analyzes the ads, writes the content, watches the search rankings, runs the social engine, scores the leads, and writes every follow-up. A human approves every send.

Your operations

Quotes, scheduling, reporting, QA, documentation: the repeatable work moves to AI systems with guardrails. Your team keeps the judgment calls.

Your product

Where it pays, we build AI into what you sell: voice agents, assistants, analysis tools. Product engineers, not prompt consultants.

Not sure what that looks like in practice? Meet the AI employees we build.

How we make you AI-native.

Three steps, priced up front, so you're never guessing. Med-spas and clinics get their own sharper ladder, below.

01Start here

The AI Audit

$3,000 · 14 days · credited to the build

Two weeks of an AI engineer inside your business. We map how the work actually moves, score every process by payback, and hand you a roadmap with a monthly number on each line. The plan is yours either way.

See what the audit covers
02After the audit

AI Build

From $15,000 · live in ~4 weeks

We build the highest-payback AI employees from your roadmap and wire them into the tools you already run: agents, dashboards, whole roles. No platform migration, no six-month project.

See how builds work
03Ongoing

Growth Retainer

Monthly · scoped to what we run

We operate, monitor, and expand the systems. New processes go AI-native as the numbers prove out. You see the dashboards we see.

Start with an Opportunity Call

We didn't read about this. We run our companies on it.

Before we sell a single AI system, it has to survive daily use inside a real business. These are ours.

GulNGifts

E-commerce

Our gifting brand runs AI-native end to end: AI runs the ad setup and daily ad analysis, an AI employee drafts the SEO and social engine, competitor scans run on schedule, and a leads engine chases every inquiry, because we measured that slow replies, not traffic, were costing us orders.

Techloset

Services

Our own sales motion runs AI-native: the system sources and researches prospects, drafts every personalized email and DM, syncs the CRM, and briefs the team each morning on exactly who to touch. Humans approve every send.

PoultryFast

SaaS

Our farm software's growth runs on a daily AI cadence: a morning pulse pulled from live production numbers, the day's outreach drafted before the team sits down, a weekly scorecard, and a brand reviewer that gates every asset before it ships.

The same operating layer, installed in your business. That's the work.

Read the three case studies

Where we're deepest.

Every industry gets its own offer, built around where that business actually leaks money.

Healthcare & aesthetics

Live

Med-spas, aesthetic and cosmetic-dermatology clinics: an AI front desk and rebooking engine that recovers the bookings a busy front desk misses. Its own audit, its own ladder →

Your industry

Every engagement starts with the audit, so we never guess where AI fits. We measure it. E-commerce and SaaS operators: ask us what we run at home.

Meet Your First
AI Employees

Not features. Roles. Each one takes over a job your team does by hand today, and each one already works inside our own companies.

The Ads Manager

Sets up campaigns, reads the numbers every morning, and moves budget toward what converts. You approve the plan; it does the tedium.

Runs the ad account at GulNGifts, our own ecommerce brand.

The SDR

Finds prospects, researches each one, and drafts every personalized email and follow-up. A human approves every send.

Books the pipeline at Techloset. It drafted today's outreach before our team sat down.

The Front Desk

Answers every call in two rings, replies to every inquiry in seconds, and books straight into your calendar. Day and night.

Built first for med-spa front desks, where a missed call is a lost patient.

The Ops Analyst

Pulls your live numbers each morning and briefs the team on exactly what needs attention before the day starts.

Writes the morning pulse at PoultryFast, our own SaaS company.

The Content Engine

Drafts the SEO pages, the posts, and the follow-ups in your voice, then waits for a human yes before anything ships.

Writes for all three of our companies, gated by a brand reviewer.

What exactly is an AI employee?

What it does, what it replaces, what it costs, and who it reports to. The full definition, with the fine print we hold ourselves to.

Read it

Run a med-spa or an aesthetic clinic? Your front desk has its own product line.

US entity
Sacramento, California
Built for HIPAA-compliant operation
Encrypted in transit and at rest, audit logging, least-privilege access
You see it live first
Working demo on your scenarios before you commit

Can they actually build it?

The question that decides every engagement. These are the clients who put it to the test.

Excellent React Native mobile developers and delivered excellent work on our development project and I enjoyed working with them.
Ganesh Tangella
Ganesh TangellaCEO/Founder Aspect Solutions
What amazed me most was how Techloset listened. Their custom software development felt personal, almost like they were part of our team.
Markus Bencher
Markus BencherFounder 89 Steps
Techloset delivered exceptional custom software solutions with remarkable precision.
WorkScaler Inc.
WorkScaler Inc.Organization

Frequently Asked Questions

We rebuild the repeatable parts of how you operate, from ads and content to lead follow-up, reporting, and support, so AI systems run them and your team approves the output. Not a chatbot on your website. An operating layer inside the business.

A system that owns a complete job inside your business: it works your real tools, does the repeatable work every day, reports what it did, and asks a human before anything leaves the building. One might run your ads, another chases your leads, another briefs your team each morning. You measure it like a hire: by the work it returns.

With the AI Audit: $3,000, fixed price, 14 days, credited in full to your build. An engineer maps how your business runs end to end, scores every process by AI payback, and hands you a prioritized roadmap with a monthly number on each one. You keep the plan either way.

The first build ships in about 4 weeks. We build the highest-payback system first and wire it into the tools you already use. No platform migration, no six-month project.

That's the point of it. Most businesses leak revenue in the follow-up: inquiries answered hours late, calls that ring out, customers nobody re-engages. The systems answer every inquiry in seconds, chase every lead, and win back the ones who lapsed. Recovered revenue you can count, not vague efficiency.

Neither. An AI employee takes the repetitive volume: after-hours calls, reminders, notes, follow-ups. Your team keeps the judgment calls and the relationships, and it plugs into your current systems instead of replacing them.

We run our own three companies this way: our services firm, our e-commerce brand GulNGifts, and our SaaS product PoultryFast all operate on AI layers we built. They draft the outreach, analyze the ads, watch the rankings, and chase every lead. We've also shipped HIPAA and FHIR healthcare systems and production voice agents.

Deepest in healthcare and aesthetics, where med-spas and clinics get a productized AI front desk and rebooking engine. Everywhere else starts with the audit, so we measure where AI fits instead of guessing.

Find out exactly where AI pays for itself in your business.

Start with a 30-minute call. If the numbers say AI isn't worth it for you yet, we'll tell you that too.

We onboard a few companies at a time.