// ZEDKIRA — AI-ERA ENGINEERING FOR MICRO-SAAS

We help micro-SaaS teams of 1–10 people survive and thrive in the AI era. We rescue AI wrappers that are losing users, add AI to existing SaaS where it pays back, and build AI products with founders who know an industry inside out.

// 01 THE SHIFT

$2T

Market value lost by S&P 500 software and services stocks from their October 2025 peak to mid-February 2026, as investors priced in AI disruption.
Reuters · Feb 2026 ↗

23%

Median gross revenue retention in 2025 for AI-native products priced under $50/month. Above $250/month, it was 70%.
ChartMogul · 2025 ↗

13×

How much cheaper a given level of AI performance has become each year since 2023. What your product resells keeps losing value.
Epoch AI · Sep 2026 ↗

40%+

Of agentic AI projects Gartner expects to be cancelled by the end of 2027, due to rising costs, unclear business value, or weak risk controls.
Gartner · Jun 2025 ↗

// Every figure links to its source. We left out the viral stats we couldn’t trace.

// THE WRAPPER PROBLEM

If your product is a prompt and a UI on top of someone else’s model, every model release is a threat. The model gets cheaper and better, your edge gets thinner, and cheap plans churn first.

// THE FEATURE GAP

If you run a traditional SaaS, competitors are shipping AI while you’re still paying down debt. A chat bubble won’t close that gap. AI built into the workflow your users already run will.

// THE WAY THROUGH

It’s survivable. Products that own their data, sit inside a real workflow, and keep inference costs in check get stronger as models improve. That’s what we build — without a rewrite.

We have never once rewritten from scratch. We have never needed to.

— Zedkira working principle

// 02   SERVICES

Three ways we help micro-SaaS in the AI era

// 01 AI WRAPPER RESCUE

Your product sits on an LLM API and it’s losing users or margin. We diagnose why — no moat, high churn, thin differentiation, costly inference — then build the layers a model release can’t copy.

// FOR YOU IF

Your AI product has paying users, but churn is high, margins are shrinking, or a model update just made your core feature free.

// WHAT YOU GET

  • A moat diagnosis: data, workflow, distribution — what you have and what’s missing
  • Architecture that captures proprietary data from real usage
  • Cost controls: model routing, caching, and usage limits
  • Feedback loops that make the product better the more it’s used
Moat diagnosisThick wrapperCost control

// 02 AI INTEGRATION FOR SAAS

Your SaaS works, but competitors are shipping AI. We find the few places where AI saves your users real time, then build it into the workflow they already use — not alongside it.

// FOR YOU IF

You have a working SaaS with real customers, and your team is too busy keeping the lights on to add AI properly.

// WHAT YOU GET

  • A short list of AI features ranked by payback — and the ones to skip
  • AI inside your existing workflows, not a separate chat tab
  • A data flywheel: usage that improves the feature over time
  • Clean code your team owns. No rewrite, no feature freeze
Workflow AIData flywheelNo rewrite

// 03 VERTICAL AI BUILDS

You know an industry deeply and want to build AI for it. We design the product around that industry’s real workflow and proprietary data, so the moat comes from what you know — not from the model.

// FOR YOU IF

You have domain expertise and access to customers or data in your industry. You don’t need to be technical — that’s our part.

// WHAT YOU GET

  • Workflow and data mapping before any code is written
  • An MVP with AI in the core workflow, taken to production
  • Data pipelines and evaluations, so quality is measured, not guessed
  • Auth, billing, and multi-tenancy done right from day one
Domain dataWorkflow-firstMVP to production
// 03 PROCESS

We set dates after we’ve read the code.

0130 min · Free

Discovery call

You tell us what’s stuck. We tell you honestly whether we can help, and what to do instead if we can’t.

02$1,500 · 7 days

AI Survival Audit

A real read of your code, costs, and churn across 7 areas. You get a PDF report, a priority scorecard, and a 90-day roadmap, walked through on a 60-minute call.

03Monthly

Retainer

We work through the roadmap, highest impact first. Changes ship to production with tests and monitoring, and you get a written update every week.

04Your call

Hand off

The code is documented and tested, so your team can own it. Keep going on the next roadmap, or take it from here.

Vertical AI builds are bigger projects. They start with the same call, then the audit maps the workflow and the data before any code is written.

// 04 WHAT WE’VE SHIPPED

Our engineering track record.
All of it real.

We’re expanding into AI wrapper rescue and vertical AI builds, and we don’t have client case studies for those yet. Here’s what we have shipped for clients, and what each project proves.

// ENGAGEMENT 01·SAAS BUILD

A full social management platform, built right from day one.

Built a complete web application connecting multiple social platforms — posting, scheduling, and account management across channels. Multi-tenant auth from the start so the founder could onboard teams without a rebuild. Checkout ran on LemonSqueezy, with standard subscription plans.

// WHAT IT PROVESFull SaaS builds from MVP to production: multi-tenancy, OAuth, and billing, done right the first time.
// connect platforms3 of 8 connected
instagram✓
twitter✓
linkedin✓
tiktok+
youtube+
facebook+
pinterest+
threads+
oauth2 · token refresh · secure handshake

Each brand connects its own accounts via OAuth. Posts, scheduling, and analytics stay completely isolated per tenant — no data bleed between clients, enforced at the database layer.

// schedule queue
@brand
Summer campaigntoday · 9:00 AM
IGTWpublished
Product launchmon · 12:00 PM
IGLIpreparing…
Weekly tiptue · 3:00 PM
TWTHscheduled
3 scheduled·2 drafts·auto-retry on failure

Shipped with multi-profile management, draft queues, cross-platform publishing with auto-retry, and LemonSqueezy checkout on regular subscription plans.

// billing · planslemonsqueezy · subscription plans
Starter
Free
✓2 profiles
✓3 platforms
✓50 posts / mo
✓Basic analytics
active
Pro
$19/ mo
✓10 profiles
✓All 8 platforms
✓Unlimited posts
✓Analytics + insights
✓Priority support
Team
$49/ mo
✓∞ profiles
✓All 8 platforms
✓Unlimited posts
✓Team collaboration
✓Custom integrations
monthly plans·3 tiers·next billing: june 1
Next.jsPostgresLemonSqueezySaaS
// ENGAGEMENT 02·PENTEST + REMEDIATION
~/pentest-report.md
// pentest · 4 e-commerce sites
site 01e-commerce·report sent✓ fixed
site 02e-commerce·report sent✓ fixed
site 03e-commerce·report sent✓ fixed
site 04e-commerce·report sent✓ fixed
4 sites · report delivered · all remediated

Found the vulnerabilities. Then fixed them.

Penetration test across four e-commerce websites. We delivered a full report of every finding, then fixed the issues we raised — discovery, report, and remediation.

// WHAT IT PROVESWe find what’s broken in a codebase, and we fix it.
PentestReportRemediationE-commerce
// ENGAGEMENT 03·BILLING INTEGRATION
~/stripe-integration.ts
// stripe · billing integration
subscription.created→activate()✓
invoice.paid→provision()✓
invoice.payment_failed→dunning()✓
subscription.deleted→revoke()✓
metered usage · API calls → units → invoice
4 webhooks · 0 unhandled

Full Stripe integration — subscriptions, metered usage, and the edge cases that come with them.

A SaaS product was already live but had no Stripe integration. We added it: subscription plan management, metered billing by API call counts, webhook lifecycle handling, and dunning logic. Live in production.

// WHAT IT PROVESComplex billing logic and webhooks — the same plumbing usage-priced AI products run on.
StripeMetered BillingNode.jsSaaS

// 05 HOW WE THINK

How we approach AI products.

Our client work above isn’t AI work yet, so here is exactly how we think about it. Every AI product we build follows four rules.

Data moat

The model is rented. The data is yours. We design products that collect proprietary, structured data from everyday use, so they get harder to copy over time.

Workflow integration

AI goes inside the steps your users already take — drafting, checking, filling, deciding. Not in a sidebar they have to remember to open.

Cost control

Model routing, caching, and limits from day one. Our target is inference under 30% of revenue, so growth improves your margins instead of eating them.

Feedback loops

Every correction a user makes is captured and measured. The product gets better the more it’s used, and you can show it.

// 06 OUR OWN PRODUCTS

We build and run our own products.

We ship our own software to real users, including our own vertical AI product. The lessons from running them go into every client engagement.

// OUR VERTICAL AI PRODUCT

Zedkira Estimate

IN DEVELOPMENT

AI-assisted cost estimation for construction. It generates DQE and DPGF documents from plans and CCTP files.

  • Built for one industry: construction cost estimation
  • AI embedded in the estimating workflow, not bolted on
  • Still in development — not yet sold to clients
Next.js · Postgres · AI

Zedkira Inventory

IN PRODUCTION

Inventory, invoicing, and point-of-sale for retail businesses. An offline-first desktop app with paying clients, sold and supported in Algeria.

Electron · SQLite · Offline-first

// 07 WHO WE WORK WITH

Built for small teams. Honest about the rest.

// A GOOD FIT IF…

  • You’re a solo founder or a team of 2–10.
  • You’re post-revenue — roughly $1k–$50k MRR — and growth has stalled.
  • Your AI wrapper is losing users, or your SaaS needs AI to keep up.
  • You know an industry inside out and want to build AI for it, even without a technical background.
  • You’re preparing to sell — on Acquire.com or elsewhere — and want a codebase that holds up in due diligence.
  • You’re bootstrapped, and every dollar has to pay for itself.

// NOT THE RIGHT FIT IF…

  • You have 10+ employees. You can probably afford an in-house team.
  • You’re pre-product, with no domain expertise or access to customers in your industry.
  • You want the cheapest option. We’re not it, and we’ll say so on the first call.
  • You’re building a horizontal AI wrapper with no vertical focus. We can’t help you out-compete OpenAI.
  • You’re looking for a technical co-founder, not a build partner.
  • Your stack is WordPress, legacy or PHP.

// 08 ABOUT

Small team. Big output.

Zedkira is a small engineering team. Our founder is a software engineer who writes code alongside the team and leads it, working with a few developers and a designer who also runs our marketing. We’re remote-first, based in Algeria, and work with founders around the world. We use AI in our own workflow every day.

Team
1 founder-engineer · a few developers · 1 designer
Based in
Algeria · remote-first · UTC+1
Founded
2022 in the UK · registered in the US in 2025
Ships
Client work and our own products

No rewrite theater

We fix what is costly, keep what works, and ship improvements every week.

AI-native, not AI-hype

AI writes many of our first drafts, so we’ve built strict guardrails around it. Every change starts from a written issue, gets reproduced before it’s fixed, passes automated checks, and is reviewed by an engineer before it merges. We bring the same discipline to the AI we build into your product.

Clarity before code

Every engagement starts with a concrete map: risks, quick wins, and execution order.

Upfront about what’s new

AI wrapper rescue and vertical AI builds are new services for us. We say so, and we show our thinking instead of inventing results.

// 09 TECHNOLOGIES WE WORK WITH

next.jstypescriptpostgressupabasestripereacttailwindvercelremixprismanext.jstypescriptpostgressupabasestripereacttailwindvercelremixprismanext.jstypescriptpostgressupabasestripereacttailwindvercelremixprismanext.jstypescriptpostgressupabasestripereacttailwindvercelremixprisma
clerkdrizzlereact-querytrpcplanetscaleneonupstashresendzodturbopackclerkdrizzlereact-querytrpcplanetscaleneonupstashresendzodturbopackclerkdrizzlereact-querytrpcplanetscaleneonupstashresendzodturbopackclerkdrizzlereact-querytrpcplanetscaleneonupstashresendzodturbopack