AI

Build intelligent AI solutions that automate work, improve decisions, and scale your operations.

AI & ML

Build AI products that ship, scale, and stay reliable in production.

Byond Boundrys designs and engineers end-to-end AI systems: GenAI copilots, RAG search, predictive models, computer vision, and secure deployments—built around your business workflows and measurable outcomes.

Get an AI roadmap See work samples Typical PoC: 2–3 weeks
Production rollout: 4–8 weeks
Outcome

Business KPIs → AI features

We map each model to a real workflow and measurable impact.

Quality

Evaluation-first delivery

Benchmarks, test sets, regression, and guardrails by default.

Security

Production + privacy

Role-based access, audit trails, and safe-by-design patterns.

Fast Track

AI Discovery Sprint

Ideal if you want clarity before building. We validate feasibility, data readiness, risks, costs, and ROI.

⏱ 5–10 days

What you get

  • AI roadmap + architecture
  • Data plan + evaluation plan
  • PoC spec + estimate

Best for

  • GenAI chatbots / copilots
  • Forecasting & analytics
  • Document automation
AI discovery sprint illustration

What we deliver

Practical AI systems built for trust.

Practical AI systems with clear interfaces, guardrails, and monitoring—so teams can trust outputs and keep improving.

Deliverables (standard)

  • Architecture & data flows
  • Eval suite + test datasets
  • Deployment, logs, dashboards
  • Docs + handover + training

Outcome

Stable, scalable AI features inside your product—measurable, monitored, and maintainable.

Our build process

PoC → Pilot → Production
01

Scope & success metrics

Define KPIs, constraints, and “done”.

02

Data + eval design

Datasets, tests, and acceptance criteria.

03

PoC → Pilot → Production

Milestone delivery with clear interfaces.

04

Monitoring & iteration

Drift, logs, evals, continuous improvement.

Tech we use

Modern, production-ready stack
Python pytorch FastAPI Postgres Docker AWS GCP Azure Kubernetes

AI & ML capabilities

Choose one area or combine multiple—we scope it cleanly and deliver in milestones.

Request proposal

GenAI Chatbots & Copilots

Customer support bots, internal assistants, and role-based copilots that connect to your tools and knowledge.

Includes

  • RAG + tool calling
  • Conversation memory
  • Guardrails + evals

Best for

  • Support & ops teams
  • Sales enablement
  • HR & onboarding

Forecasting & Predictive Models

Demand, churn, pricing, risk, and time-series forecasting with clear probabilities and decision outputs.

Time-series
Scenario modeling
Drift monitoring
Dashboards

Document AI (Extraction & Q/A)

Turn PDFs, contracts, policies, invoices into structured data, summaries, and searchable knowledge.

Common outputs

  • Structured fields
  • Compliance checks
  • Semantic search

Works with

PDFs · scans · knowledge bases · internal SOPs · emails · CRM notes

Responsible AI & Guardrails

Safety filters, policy controls, evaluation suites, audit trails, and security hardening for AI apps.

RBAC
PII protection
Prompt injection defense
Audit logs

Model Fine-Tuning & Optimization

Improve accuracy on your domain with curated datasets, adapters (LoRA/PEFT), and regression testing.

Focus

Higher precision · lower hallucinations · better instruction following · safer outputs

Deliver

Training pipeline + eval report + deployment package

AI Agents & Workflow Automation

Automate multi-step tasks: fetch data, decide actions, update tools, generate outputs, and notify stakeholders.

Tool calling
Approvals
Retries
Observability

Computer Vision

Image classification, OCR pipelines, defect detection, and document vision workflows.

Use cases

OCR · KYC · quality checks · medical imaging · invoice parsing

Delivery

Model + API + batch pipeline + dashboard

Analytics & BI (AI-powered)

Dashboards, KPI tracking, anomaly alerts, and “ask-your-data” interfaces for non-technical teams.

Dashboards
Alerts
Semantic layer
Role views

AI Architecture & Integration

Integrate AI into your product with reliable APIs, caching, multi-tenancy patterns, and cost controls.

Includes

API design · vector DB · auth · rate limits · observability

Outcome

Stable, scalable AI features inside your app

MLOps & Deployment

From notebooks to production: pipelines, CI/CD, model registry, monitoring, and scalable deployment.

CI/CD
Model registry
Monitoring
Cost control

Not sure where to start?

Share your idea + data situation. We’ll propose the fastest path to value with a phased delivery plan.

Talk to us

OUR EXPERTS

Questions? Get in touch.

Tell us about your project. We’ll respond quickly and help you plan next steps.

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