Discover & Strategize
We map the business outcome, audit your data & systems, and craft an AI roadmap with priorities, KPIs and risk model.
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.
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.
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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.
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Agentic RAG & knowledge systems — vector databases, hybrid search and grounded retrieval over your private data.
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Agentic workflows — autonomous, MCP-connected agents that plan, call tools, and complete real work end-to-end.
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Custom ML & MLOps — predictive models, fine-tuning, evaluation pipelines and continuous deployment.
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.
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AI & Generative AI Development
Production-grade LLM apps, agents, RAG and computer-vision systems aligned to your KPIs.
Custom Software Development
Bespoke SaaS, internal platforms and API-first products engineered to outlast trends.
Mobile App Development
iOS, Android, React Native and Flutter apps built to scale — and stick on the home screen.
Cloud & DevOps
AWS, Azure and GCP infrastructure with Kubernetes, IaC and SRE-grade observability.
Data Engineering & MLOps
Modern data stacks, feature stores and ML pipelines that keep models accurate in production.
Technology Consulting
Independent AI & engineering advisory — strategy, architecture reviews and team augmentation.
Impact in numbers
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.
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.
Design & Prototype
Rapid prototypes for the riskiest assumptions — UX flows, model evaluations, retrieval quality, agent traces. Decisions in weeks, not quarters.
Build & Ship
Cross-functional pod (AI/ML, product, design, cloud, QA) delivers in 2-week sprints with weekly demos and live KPI tracking.
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 AI1 / 3
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
FinTech2 / 3
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
90 secDecision turnaround
Retail & CPG3 / 3
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 ↓
12K+SKUs forecast daily
What clients say
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.
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.