AI-native product studio

Engineering the AI-native enterprise.

XORLabs partners with founders and Fortune-listed teams to design, build and scale AI products that actually ship — generative AI apps, autonomous agents, RAG systems and custom ML, deployed on cloud infrastructure you can trust.

Book a discovery call → Explore AI services
120+AI & software products shipped
4M+Users served across 5 continents
12+Years engineering at enterprise scale

Trusted by ambitious teams worldwide

★ Core capability

AI Development that turns models into measurable business outcomes.

We don't ship demos — we ship production AI. From custom LLM applications and retrieval-augmented generation to autonomous multi-agent systems and on-prem fine-tuned models, XORLabs takes your AI roadmap from prototype to scaled deployment with security, governance and observability baked in.

  • 01
    Generative AI apps — copilots, chat assistants and content engines on Claude Opus 4.8, GPT-5.5, Gemini 3, Llama 4 and open-weight models.
  • 02
    Agentic RAG & knowledge systems — vector databases, hybrid search and grounded retrieval over your private data.
  • 03
    Agentic workflows — autonomous, MCP-connected agents that plan, call tools, and complete real work end-to-end.
  • 04
    Custom ML & MLOps — predictive models, fine-tuning, evaluation pipelines and continuous deployment.
See our AI capabilities → Talk to an AI engineer
What we engineer

A complete AI-first engineering stack.

One team, end-to-end ownership — from AI strategy and product design to cloud-native engineering and 24×7 reliability.

✦

AI & Generative AI Development

Production-grade LLM apps, agents, RAG and computer-vision systems aligned to your KPIs.

  • LLM apps & copilots
  • RAG / vector search
  • Multi-agent systems
  • Model fine-tuning
Learn more →
◇

Custom Software Development

Bespoke SaaS, internal platforms and API-first products engineered to outlast trends.

  • SaaS & web platforms
  • API & integration layers
  • Legacy modernization
  • Product engineering
Learn more →
◈

Mobile App Development

iOS, Android, React Native and Flutter apps built to scale — and stick on the home screen.

  • Native iOS & Android
  • React Native / Flutter
  • App + cloud integration
  • App store optimization
Learn more →
◉

Cloud & DevOps

AWS, Azure and GCP infrastructure with Kubernetes, IaC and SRE-grade observability.

  • Cloud migration
  • Kubernetes & serverless
  • CI/CD & IaC
  • Cost & FinOps
Learn more →
◐

Data Engineering & MLOps

Modern data stacks, feature stores and ML pipelines that keep models accurate in production.

  • Data lakes / warehouses
  • Real-time pipelines
  • MLOps & eval frameworks
  • Analytics dashboards
Learn more →
◆

Technology Consulting

Independent AI & engineering advisory — strategy, architecture reviews and team augmentation.

  • AI readiness audits
  • Architecture reviews
  • Vendor & build-vs-buy
  • Fractional CTO
Learn more →
120+Products shipped
4M+End users reached
98%Client retention
5Continents served
Industries

AI built for the way your industry actually works.

Domain-aware AI engineering for regulated and high-stakes industries — with the security, compliance and observability they demand.

Healthcare & Life Sciences Banking & FinTech Retail & FMCG Logistics & Supply Chain Energy, Oil & Gas Manufacturing SaaS & Startups Wholesale & Distribution
How we work

From idea to AI in production — without the chaos.

Our 4-phase engagement model is built around rapid clarity, measurable milestones and zero handoff drift.

01

Discover & Strategize

We map the business outcome, audit your data & systems, and craft an AI roadmap with priorities, KPIs and risk model.

02

Design & Prototype

Rapid prototypes for the riskiest assumptions — UX flows, model evaluations, retrieval quality, agent traces. Decisions in weeks, not quarters.

03

Build & Ship

Cross-functional pod (AI/ML, product, design, cloud, QA) delivers in 2-week sprints with weekly demos and live KPI tracking.

04

Scale & Optimize

Continuous evaluation, A/B testing, prompt & cost optimization, model retraining and SRE — your product gets smarter every quarter.

Selected work

Outcomes, not slideware.

A snapshot of how AI and product engineering are moving real numbers for our clients.

Healthcare AI

Clinical copilot for a 1,500-bed hospital network

A HIPAA-grade LLM assistant that summarizes records, drafts notes and surfaces evidence-based suggestions for physicians.

62%Faster documentation
3.4×More patients/day
99.2%Citation accuracy
FinTech

Autonomous KYC agent for a global lender

Multi-agent pipeline that ingests documents, runs sanctions checks and produces a regulator-ready decision in under 90 seconds.

91%Manual review removed
5M+Onboardings/yr
$8.4MAnnual savings
Retail & CPG

Demand-forecasting platform for an FMCG leader

Time-series ML and causal models that drove inventory, replenishment and promo planning across 12,000 SKUs.

27%Forecast error ↓
18%Stockouts ↓
$22MWorking capital freed
“XORLabs is the rare partner that gets both the AI and the product. They shipped a fine-tuned RAG copilot in nine weeks — and it's been the highest-rated feature we've launched in five years.”
VP of Product, Global Healthcare SaaS — referenced under NDA
FAQ

Questions teams ask before working with us.

What does an AI engagement with XORLabs typically look like?

Most engagements start with a 2–3 week discovery sprint to map the business outcome, evaluate your data and choose the right AI architecture. From there we move into a build phase with weekly demos. A typical first production release ships in 8–12 weeks.

Do you build on top of commercial LLMs or open-source models?

Both. We're model-agnostic — Claude Opus 4.8, GPT-5.5, Gemini 3, Grok 4, Llama 4, DeepSeek, Qwen and custom fine-tunes are all in our stack. The choice is driven by latency, cost, privacy and accuracy targets, not by hype.

How do you handle data security and AI governance?

We follow SOC 2, HIPAA, GDPR, ISO/IEC 42001 and EU AI Act-aligned practices: VPC-isolated deployments, PII redaction, prompt & output logging, role-based access, evaluation harnesses for bias and hallucination, and full audit trails for regulated industries.

Can you augment our existing engineering team?

Yes. We offer dedicated AI/ML, mobile and cloud pods that plug into your sprint cadence, or fractional CTO and architecture advisory if you just need senior firepower for the hard calls.

What does a project cost?

AI discovery sprints typically start at $15K. Production AI MVPs range from $40K–$120K. Larger platforms are scoped after discovery. We're transparent about cost models — fixed-bid, T&M or outcome-based.

Now booking Q3 2026 engagements

Have an AI idea worth building?

Tell us about your business outcome. We'll send back an honest read on feasibility, timeline and the smartest first step — within two working days.

Start a project → connect@xorlabs.com