iSkylar
Neural network background
FUTURE-PROOF ENGINEERING

Custom AI systems for companies that can't afford to move slow.

From agentic workflows to fine-tuned LLMs — we design, build, and ship. Trusted by teams across fintech, e-commerce, and SaaS.

650+
Clients delivered
1,100+
AI projects shipped
99%
Client satisfaction
TRUSTED BY 200+ AGENCIES & BUSINESSES

From Series-A startups to category leaders.

See all case studies
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AI STRATEGY · STEP 0

Ready to leverage AI for real growth?

Most teams treat AI as a buzzword to add to next quarter's deck. We treat it as engineering. Practical, measurable, deployed.

01
Find automation opportunities
We map every workflow in your stack and rank them by ROI × feasibility — your AI roadmap on day 14.
02
Implement what actually works
Chatbots for the support queue. ML for the data nobody is reading. Predictive routing for the ops that bleed money.
03
Own the pipeline end-to-end
We hand you fine-tuned models, full code, and infra runbooks. No vendor lock. No black box.
Partner with AI experts
4 audits running
WHY TEAMS PICK iSKYLAR

More than a vendor.
Your team's force-multiplier.

01

Expert guidance

PhD-level ML scientists and senior engineers from day one. No juniors handed off in week three.

Proof on every project
02

Operational efficiency

We automate the workflows that bleed money — back-office, support queues, ops routing.

Proof on every project
03

Competitive advantage

Production AI in 9 weeks vs. your competitor's 9-month RFP cycle. Compounding interest, daily.

Proof on every project
04

Scalable solutions

Architected for traffic you don't have yet. Multi-region, auto-scaling, observability baked in.

Proof on every project
05

Better decision-making

Real-time dashboards, predictive forecasts, your data finally telling you something useful.

Proof on every project
TECHNICAL EXPERTISE · 40+ TOOLS

We work in your stack —
not the other way around.

Languages

PythonJavaRC++TypeScriptGoRustSQL

Cloud & Infra

AWSGoogle CloudAzureVercelCloudflareSnowflake

Data & Tools

PandasHadoopSparkdbtAirflowKafkaPostgres

AI Frameworks

TensorFlowPyTorchKerasOpenCVHugging FaceLangChain

NLP / LLM

SpaCyNLTKGPT-4ClaudeLlamaBERTMistral
Not seeing what you use?
We pick up new frameworks in 2 weeks. Just tell us the stack.
Tell us yours
HOW WE BUILD · 06 STEPS

From kickoff to production — predictable, every time.

Average 11 weeks to first deploy
01

Discovery

2-week paid audit. We map your stack, your data, your goals, your team.

2 wks · $8k
02

Planning & Design

Architecture diagrams, model selection, infra spec, milestone plan.

2–3 wks
03

Development

Same senior engineers writing code. Daily commits, weekly demos.

6–12 wks
04

Testing & QA

Production-grade test harnesses. Adversarial cases. Load & chaos.

In parallel
05

Deployment

Multi-region rollout, canary, observability, runbooks handed over.

1 wk
06

Post-launch

Fractional CTO retainer or full handover. We optimise until you hire your own.

Ongoing
AWARDS & RECOGNITION

The work speaks. So do the awards.

2024
Clutch Champion
AI Development
2024
CEO 40 Under 40
in Tech
2023
Top App Dev Co.
GoodFirms Global
2023
Inc 5000
Fastest growing
2022
Forbes Featured
AI Innovators
2022
AWS Partner
Advanced Tier
CLIENT TESTIMONIALS · 7 OF 332

What founders & CTOs say
after the kickoff.

★★★★★

"We replaced a 22-person agency with iSkylar. Shipped in 9 weeks what they'd promised in 9 months."

AK
Ahmed Karim
CTO · Cardinal Pay
C
Clutch
4.9★★★★★
124 reviews
G
Google
4.8★★★★★
89 reviews
G
GoodFirms
5.0★★★★★
67 reviews
G
Glassdoor
4.7★★★★★
52 reviews
HOW WE ENGAGE · 05 STEPS · 14 DAYS TO KICKOFF

From "hello" to first deploy.
Without the RFP theatre.

STEP 01

Share AI needs & goals

30-min intro call. We listen first. No pitch deck.

STEP 02

Choose consultants

Hand-picked 2–4 senior engineers for your domain. Meet them before signing.

STEP 03

Sign NDA & onboard

Light contracts. Slack channel up in 24h. Repos and credentials shared securely.

STEP 04

Build, integrate, test

Weekly demos, milestone billing, transparent burn — your CFO will love us.

STEP 05

Deploy & optimise

Canary rollouts, observability, on-call rotation. We stay until you don't need us.

WHY iSKYLAR · IN NUMBERS

14 years. 650+ shipped projects.
One promise: production AI.

0+
Clients delivered
0+
Senior engineers
0+
Startups launched
0+
Funded startups
0%
Client satisfaction
0 yrs
In market
FREQUENTLY ASKED · 06 OF 23

Straight answers.
No agency double-speak.

Most engagements start with a $8K discovery sprint (10 days). Full builds typically range from $50K (single-model integration) to $400K+ (multi-model platform). We bill on fixed milestones, never retainer.
Average is 11 weeks from kickoff to first production deploy. Discovery: 2 weeks. Architecture: 2–3 weeks. Build & QA: 6–8 weeks. Deployment: 1 week. Faster than that and you're shipping a demo, not a product.
Yes — everything. Code lives in your repo from day one. Models are trained on your data and handed over with weights, training pipeline, and runbooks. No vendor lock.
Yes. We work in your cloud (AWS, GCP, Azure), your CI, your observability tooling. We adapt to your stack — we don't make you adopt ours.
You have two options: (1) Fractional CTO retainer with one senior engineer monthly. (2) Full handover to your team with a 60-day support window included.
SOC2 Type II, GDPR, HIPAA. We sign your DPA without negotiating it down. Models can be deployed in your VPC — no data leaves your perimeter.
READY TO START?

Ready to architect your AI future?

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