15
AI patents filed at Apple & Instacart
Ex-Apple · Ex-Instacart · Ex-Adobe
You know your market.
We build the AI.
AIshar Labs is an AI engineering company led by ML architects from Apple, Instacart, and Adobe. We don't write strategy decks. We co-build production AI systems — the models, the infrastructure, the architecture — alongside founders and teams who know their domain.
15 AI Patents
Billions of Queries Served
Google for Startups Alumni
8th ACM ICPC Asia
Talk to our founder
Manmeet SinghEx-Apple · Ex-Instacart · 15 Patents
Built AI systems at
Apple
Search · Maps · Safari · Spotlight
Instacart
Search · Recs · Ranking · 10+ Patents
Adobe
Cloud Services · Analytics · Reader
Backed and partnered with
Google for Startups
Accelerator Americas Alumni
TBDC
AI Mentor Program
What Makes Us Different
Not another AI consultancy
- Strategy decks that sit in a drawer
- Junior consultants learning on your dime
- "AI assessments" that state the obvious
- Advisors who've never shipped production ML
- Buzzword-heavy proposals, vague deliverables
An AI engineering team that builds
- Production models serving real users, real traffic
- Architect-led — the person you talk to writes the code
- Systems designed for scale from day one
- 15 patents from solving hard problems at Apple & Instacart
- You own everything — the code, the models, the IP
By The Numbers
Not promises. Proof.
93%
Infrastructure cost reduction for a fintech startup
8-10mo
Faster to hospital partnerships for a healthtech startup
15+
Years building ML systems at world-class companies
Build Stories
We don't have case studies.
We have build stories.
Real systems we built. Real numbers they produced. No fluff.
Healthtech
Without
18+ months
With AIshar Labs
~8 mo
8-10 months faster
to first hospital partnerships
Hospital Partnerships in Months, Not Years
A healthcare startup couldn't get hospitals to the table without HIPAA and SOC2 compliance. We built the entire AI platform — compliant from the ground up. The result: multiple hospital partnerships secured on a timeline the team estimated would have taken 8-10 months longer without the infrastructure.
Compliance wasn't the goal — it was the unlock. The AI system we built became the reason hospitals said yes.
HIPAA CompliantSOC2Full Platform BuildHealthcare AI
Fintech
$100K/yr
Before
$7K/yr
After
$93K saved
annually · 93% reduction
$100K/year → $7K/year. Same Performance.
A fintech startup was burning $100K annually on AI infrastructure. We re-architected the entire system. Annual cost dropped to $7K — a 93% reduction — with no loss in performance. That's not optimization. That's a fundamentally different architecture.
The $93K saved extended their runway by months. Infrastructure costs should fund your growth, not drain it.
Infrastructure Re-architecture93% Cost ReductionMLOps
Enterprise
Off-the-shelf
Fine-tuned
Engagement▲ +31%
Conversion▲ +14%
Task Accuracy▲ +7%
Purpose-built beats generic.
Custom LLMs That Move Business Metrics
Off-the-shelf models weren't cutting it. We fine-tuned LLMs for the client's specific tasks and user base — purpose-built models, not generic wrappers. The result: measurable lifts in both engagement and conversion, hitting the targets the business had set.
Anyone can call an API. We build models that are proprietary to you and tuned to your outcomes.
Fine-tuned LLMsEngagement LiftConversion Lift
Who We Build With
Three kinds of teams.
One shared problem.
You need production AI — not a roadmap to production AI.
🚀
Series A / B Startups
VCs funded you. We build the AI.
You raised capital to build an AI product. Hiring a world-class ML team takes 6-12 months and costs $1M+/year. We embed with your team and build it now — The same caliber of engineering behind Apple Search and Instacart's recommendations.
🧠
Domain Experts Becoming Founders
You know the problem. We know the engineering.
You spent decades mastering healthcare, finance, or logistics. You see the AI opportunity. Don't spend years figuring out AI engineering. Bring the domain expertise — we bring the computer science. We build it together.
🏢
Enterprises
You need systems. Not slide decks.
Your board wants AI results, not AI plans. We deploy production systems — custom models, scalable infrastructure, real architecture. Led by engineers who built ML systems at Apple-scale. We build it inside your organization.
The Person Behind The Work
Built at Apple.
Scaled at Instacart.
Now builds with you.
AIshar Labs was founded by Manmeet Singh, who spent 15+ years as an ML architect at Apple, Instacart, and Adobe — not advising, but building the production systems those companies depend on.
At Apple, he built the search systems powering Maps, Safari, and Spotlight. At Instacart, he architected the ML platform for search, recommendations, and ranking — driving multi-million dollar impact and authoring 10+ patents.
The difference between AIshar Labs and an AI consultancy: the person you meet is the person who builds.
Lead ML Engineer — Apple (Search: Maps, Safari, Spotlight)
Staff ML Architect — Instacart (Search, Recs, Ranking)
15 AI Patents Filed (Personalization, Retrieval, Embeddings)
Google for Startups Accelerator Alumni
8th in ACM ICPC Asia · Indian Institute of Information Technology
1st in UMASS ACM competition · CIIR, UMass Amherst
MS
Manmeet Singh
Founder & CEO · ML Architect
Apple
Lead ML Engineer · Search · ~5 yrs
Instacart
Staff ML Architect · Search, Recs · ~4.5 yrs
Adobe
Sr. Member of Technical Staff · 3 yrs
Google for Startups
Accelerator Americas · 2025
Ready?
Let's build your AI.
No sales pitch. No 30-slide deck. Just a direct conversation with our founder about what you're building and whether we're the right engineering team for it.
Talk to Manmeet