Machine Learning and AI
Turn the data you already collect into predictions you can act on.
- Predictive models
- Computer vision
- Data platforms
ZygobitAI
AI development built for startups and growth-stage US teams
Zygobit is an AI development company for startups and growth-stage teams. We combine machine learning, generative AI, and agentic AI to ship products that move real business metrics.
Based in East Windsor, New Jersey, working with teams across the US.
Trusted by teams building serious products
10+
Years of Industry Experience
80+
Products launched
420+
Projects delivered
15+
Countries served
Three ways we build AI for your business
Not sure which one you need? Start with the outcome you want and we will point you to the right build.
Generative AI
Build apps that write, summarize, and answer using large language models.
- LLM apps
- RAG search
- Content and code generation
Agentic AI
Put agents to work on multi-step tasks across your real systems.
- Autonomous agents
- Multi-step workflows
- Tool and system integration
Find the right AI solution for your goal
Pick the outcome you care about. Each one links to the service that delivers it.
Automate repetitive work
Route tickets, clear back-office queues, and hand off the busywork your team should not be doing.
See how agentic AI automates workflowsMake sense of your data
Forecast demand, score leads, and catch anomalies before they cost you money.
See how machine learning reads your dataGenerate content and answers
Draft copy, write code, and stand up a knowledge assistant your team can query.
See how generative AI creates contentTalk to customers around the clock
Answer questions day and night with an AI chatbot or a voice assistant.
See how we build conversational AIFull-stack AI development services
One team for the model, the app around it, and the plumbing that connects it to your business.
Custom AI and ML development
We design and train models around your data and your workflows, not a template.
Generative AI and LLMs
We build apps on top of large language models, tuned and guardrailed for your use.
AI agents and automation
We build agents that plan, call tools, and finish multi-step tasks on their own.
Computer vision
We read images and video for classification, detection, and quality checks.
Conversational AI and chatbots
We build assistants that answer in your voice across web, app, and phone.
RAG and enterprise search
We connect models to your documents so answers cite your own sources.
MLOps and deployment
We ship models to production with monitoring, versioning, and retraining.
AI consulting and strategy
We help you pick the use case worth building before anyone writes code.
AI integration with existing systems
We wire AI into the tools you already run, from your CRM to your data warehouse.
AI products we have shipped
Real builds, in production, for teams that needed AI to do a job.
XRayAI
Problem. Radiology teams needed faster, more consistent reads on medical imaging.
Built. A machine learning product that analyzes scans and surfaces findings for clinician review.
Read the XRayAI case studyCareVille
Problem. A care platform spent too much staff time on manual coordination.
Built. AI-assisted workflows that triage requests and route them to the right person.
Read the CareVille case studyAkademus
Problem. A learning platform needed to personalize content at scale.
Built. Models that adapt lessons and recommendations to each learner's progress.
Read the Akademus case studyWhy US teams build AI with Zygobit
Senior engineers from kickoff
You work with the people who build the product, not a rotating bench of juniors.
Time-zone-aligned delivery
Our New Jersey office keeps you in overlapping hours, so questions get answered the same day.
Security and compliance
We build to SOC 2, HIPAA for healthcare, PCI-DSS for payments, and GDPR from the start.
Clear weekly demos
You see working software every week, so there are no surprises at the end.
A partner who stays past launch
We monitor, retrain, and improve the product as your users and your data grow.
Strategy before code
We start with the use case that pays back, then scope the smallest build that proves it.
Industries we build AI for
We know the rules that shape each sector, from patient data to payment security, and we build to them.
Healthcare
Fintech and payments
Retail and e-commerce
Logistics
SaaS
Real estate
Manufacturing
Customer support
How we turn ideas into AI products
A four-step model that keeps the work honest and measurable from the first call to production.
- 01
Discover
We learn your business, your data, and the outcome you need before we scope anything.
- 02
Design
We choose the model, the data flow, and the guardrails, and agree on how we measure success.
- 03
Build
We build and evaluate the AI in short cycles, with senior engineers and weekly demos.
- 04
Improve
We deploy, monitor, and retrain so the product keeps getting better in production.
The stack behind our AI builds
We pick tools that fit the job, from training and serving models to moving data at scale.
Python
R
C++
Sasson Moulavi
ABBSI
Zygobit’s team delivered a highly effective solution for our app. They ensured a user-friendly interface and smooth functionality, helping us meet our business goals in no time. Â
AI Products We've Shipped
Real machine learning, generative, and agentic AI work running in production. Each card opens the full case study.
AI development FAQs
What founders and operators ask before starting an AI build with us.
Cost depends on the use case, the data you have, and how deep the integration goes. A focused pilot that proves one workflow costs far less than a production system wired into your stack. We scope the smallest build that answers your question first, then quote the full rollout once we know it works. Share your goal and we will give you a clear estimate.
A pilot usually takes a few weeks. A production system takes a few months, depending on data readiness, integrations, and compliance needs. We work in short cycles with weekly demos, so you see progress the whole way and can adjust scope as we learn.
Yes. Most of our work connects AI to systems you already run, such as your CRM, your data warehouse, your support desk, or your product. We build the model and the plumbing so it fits your stack instead of forcing a rebuild.
Yes. We build LLM apps, retrieval-augmented (RAG) assistants that answer from your own documents, content and code generation, and chat and voice assistants. We add guardrails and evaluation so the output stays accurate and on-brand.
A chatbot answers a question. An agent takes an action. Agentic AI plans a task, calls the right tools, and completes multiple steps across your systems, such as pulling data, updating a record, and following up. We build agents with the tooling, evaluation, and monitoring that production use needs.
We build to SOC 2 practices, HIPAA for healthcare data, PCI-DSS for payment data, and GDPR for personal data. We handle encryption, access control, and audit trails, and we can deploy in your own cloud when your policy requires it.
Yes. Our office in East Windsor, New Jersey keeps us in overlapping hours with teams across the US, so questions get answered the same day. We work with early-stage startups and with larger teams that need extra AI capacity.
Yes. Many engagements start with a strategy call and a short discovery, where we help you pick the use case that pays back and scope the smallest build that proves it. You get a clear plan before you commit to a full project.
Ready to build with AI?
Book a strategy call. In 30 minutes we will look at your goal, tell you if AI is the right tool for it, and outline the smallest build that proves it.