AI
AI agents & assistants
Assistants that answer customers, triage requests and complete multi-step tasks inside your tools, with guardrails and a clear handoff to people.
AI automation · Web platforms · Data & ML
Automation, AI & Digital Products Built to Move Business Forward.
bitNode Solutions designs intelligent workflows, scalable web platforms, machine-learning systems, and data products that reduce manual work and create measurable business value.
- Automation workflows delivered
- 140+
- Hours of manual work saved each year
- 45,000+
- Systems integrated
- 80+
- Projects completed
- 60+
Illustrative sample
Invoice batch processed
1,284 docs
Extracted, validated and posted to the ERP
New lead routed
Under 60 sec
Enriched, scored and assigned in the CRM
Demand forecast refreshed
12-week view
Retrained on last week's sales
Workflows monitored
24/7
Retries and alerts on every run
Technology we trust
Built on proven, production-grade platforms
- Next.js
- React
- TypeScript
- Node.js
- Python
- FastAPI
- PostgreSQL
- Redis
- AWS
- Google Cloud
- Docker
- OpenAI
- Anthropic Claude
- LangChain
- PyTorch
- scikit-learn
What we do
Five disciplines, one accountable team
From intelligent automation to production machine learning, we design, build and run the systems that take repetitive work off your team and put better information in front of decision-makers.
What we build
Systems that do real work, every day
Not slide decks or pilots that stall. We ship software your team relies on, measured by the hours it saves and the decisions it improves.
Web
SaaS platforms & client portals
Multi-tenant products, customer portals and internal tools built on a modern, maintainable stack.
Data
Executive dashboards
KPI systems fed by tested data pipelines, so every team works from the same numbers.
Ops
Automated workflows
Lead, finance and operations workflows that move data between systems without copy-paste.
ML
Predictive models
Forecasting, scoring and recommendation models deployed with monitoring and retraining.
API
Integrations & APIs
Reliable connections between your CRM, ERP, data warehouse and the apps your team already uses.
Selected work
Outcomes, not just deliverables
How we have helped operations, sales, finance and product teams replace manual effort with systems that measurably perform.
Workflow automation
From inbox to done, without the copy-paste
Most operational work follows the same pattern: something arrives, someone reads it, checks it and updates three systems. We automate the pattern and keep people in control of the exceptions.
- Trigger
Capture
An email, form submission, file upload or CRM event starts the workflow.
- AI
Understand
AI extracts fields, classifies intent and scores its own confidence.
- Rules
Validate
Business rules check totals, duplicates and approval limits; exceptions go to a person.
- Sync
Act
Records are created and updated across your CRM, ERP and finance tools.
- Insight
Report
Every run is tracked, so volumes, savings and error rates are visible on a dashboard.
- Trigger
Capture
An email, form submission, file upload or CRM event starts the workflow.
- AI
Understand
AI extracts fields, classifies intent and scores its own confidence.
- Rules
Validate
Business rules check totals, duplicates and approval limits; exceptions go to a person.
- Sync
Act
Records are created and updated across your CRM, ERP and finance tools.
- Insight
Report
Every run is tracked, so volumes, savings and error rates are visible on a dashboard.
Every workflow we ship is logged, measured and recoverable. Low-confidence results go to a review queue instead of guessing, and failed steps retry automatically before anyone is alerted.
Data analytics
One version of the truth, ready every morning
We connect sales, finance, operations and marketing data into a tested warehouse and dashboards leadership actually opens.
- Metric definitions agreed once and reused everywhere
- Automated data tests catch broken feeds before numbers reach a meeting
- Drill down from company KPIs to individual orders, tickets or SKUs
Performance hub
Revenue vs. target
104%
Month to date, all channels
Gross margin
38.6%
Refreshed daily from the ERP
Inventory cover
41 days
Across every warehouse
On-time fulfillment
96.2%
Rolling 30 days
Net revenue, trailing 12 months
$4.82M
Revenue by channel
- Online52%
- Retail31%
- Wholesale17%
Orders by weekday
Illustrative data · switch views to explore
AI & machine learning
Practical AI, engineered for production
We use AI where it measurably beats the alternative, and design the evaluation, guardrails and monitoring that keep it trustworthy after launch.
Every model or LLM feature ships with an evaluation set, clear confidence thresholds and a human fallback. Your data stays in your environment wherever possible.
LLM integrations
GPT and Claude models built into your products and workflows, with structured outputs and guardrails.
GenAI
Knowledge search
Answers grounded in your documents, policies and data, with sources people can check.
RAG
Document intelligence
Invoices, contracts and forms turned into validated, structured data.
IDP
Forecasting
Demand, revenue and capacity forecasts planners can act on.
Time series
Classification & scoring
Lead scoring, risk flags and routing decisions with measured accuracy.
Predictive
Recommendations
Relevant products, content and next-best actions for each customer.
Personalization
Industries
Built around how your industry actually works
Tools differ from sector to sector, but the drag is familiar everywhere: documents, handoffs, disconnected systems and reports nobody trusts. We bring patterns that already work in your industry.
01
Logistics & Supply Chain
Carriers, 3PLs and distributors use our automation and forecasting work to cut paperwork, keep shipments visible and plan capacity with fewer surprises.
4 challenges we solve
Key challenges
- Bills of lading, PODs and customs documents keyed in by hand
- Shipment status scattered across carrier portals, email and spreadsheets
- Volatile demand that makes fleet and warehouse capacity hard to plan
- Invoice disputes caused by mismatched rates and accessorial charges
02
Healthcare
Clinics, labs and health-tech teams rely on us for secure patient portals, intake automation and operational reporting built with privacy in mind.
4 challenges we solve
Key challenges
- Paper and PDF intake forms re-keyed into practice management systems
- Appointment no-shows and manual reminder workflows
- Strict privacy requirements for patient data and audit trails
- Operational data locked inside disconnected clinical and billing tools
03
Financial Services
Lenders, fintechs and advisory firms work with us on document-heavy onboarding, risk scoring and customer support that stays compliant and auditable.
4 challenges we solve
Key challenges
- Slow KYC and loan onboarding driven by manual document review
- Support queues flooded with repetitive account and payment questions
- Risk and fraud signals spread across systems with no single view
- Regulatory reports assembled by hand every month
04
E-commerce & Retail
Online and omnichannel retailers use our dashboards, forecasting and support automation to protect margin and scale without adding headcount.
2 case studies
Key challenges
- Stockouts and overstock from spreadsheet-based replenishment
- Sales, ad spend and inventory data that never reconcile
- High ticket volume around orders, returns and delivery status
- Manual catalog updates across storefronts and marketplaces
05
Professional Services
Consultancies, agencies, accounting and legal firms use automation to win more of the right work and reclaim billable hours lost to admin.
4 challenges we solve
Key challenges
- Qualified leads that go cold before anyone follows up
- Proposal, contract and onboarding paperwork handled by hand
- Time tracking and invoicing that never quite match
- Institutional knowledge buried in documents nobody can search
06
Manufacturing
Manufacturers work with us on demand forecasting, production visibility and quality analytics that connect the shop floor to the boardroom.
4 challenges we solve
Key challenges
- Production plans based on last year's numbers and gut feel
- Machine, ERP and quality data sitting in separate silos
- Reactive maintenance that causes unplanned downtime
- Month-end reporting that takes days to compile
How we work
A delivery process built for predictable outcomes
Eight clear stages, working software every sprint, and success measured against the baseline we record on day one.
- 011–2 weeks
Discover
We learn how the work actually happens today: the people, systems, data and bottlenecks behind the outcome you want to improve.
- Stakeholder interviews and process walkthroughs
- Current-state process map
- Baseline metrics for volume, time and errors
- Opportunity shortlist ranked by value and effort
- 021 week
Define
We agree on scope, success metrics and the smallest release that proves value.
- Success metrics and acceptance criteria
- Prioritized scope and release plan
- Risk, security and compliance review
- Fixed-scope proposal or sprint plan
- 031–3 weeks
Design
Architecture, data flows and user experience are designed together, so the system is simple to use and straightforward to run.
- Solution architecture and data-flow diagrams
- UX flows and clickable prototypes
- Integration and API contracts
- Model, prompt and evaluation strategy for AI components
- 044–12 weeks
Build
We ship in short, demo-able iterations with production-grade code, peer reviews and automated tests from day one.
- Working software at the end of every sprint
- Code reviews and automated test suites
- Infrastructure as code and CI/CD pipelines
- Weekly written progress updates
- 05Runs alongside Build
Automate / Integrate
We connect the new system to your CRM, ERP, data warehouse and communication tools so work flows end to end.
- Integrations with retries, logging and alerting
- Data migration and backfill scripts
- Human-in-the-loop review queues
- Runbooks for exceptions and failures
- 061–2 weeks
Test
Functional, performance, security and accuracy testing against real-world scenarios before anything reaches your users.
- End-to-end and regression test runs
- Load and performance results
- Security review and access-control checks
- Accuracy reports for AI and ML components
- 071 week
Launch
A staged rollout with monitoring, training and a rollback plan, so go-live is a non-event.
- Staged rollout plan with rollback steps
- Monitoring dashboards and alerts
- Team training sessions and documentation
- Hypercare support window
- 08Ongoing
Optimize
We measure results against the baseline, tune what matters and plan the next highest-value improvement.
- Impact report against the original baseline
- Workflow, prompt and model tuning
- Support and maintenance options
- Roadmap for the next iteration
Results
Measured in hours saved and decisions improved
We agree success metrics before we build, and we report against them after launch.
- Average reduction in manual processing time
- 68%
- Across document, lead and back-office automation projects.
- Faster reporting cycles
- 4.5x
- From manual month-end spreadsheets to automated daily dashboards.
- Median months to payback
- 5
- For automation projects measured against their pre-launch baseline.
- Uptime across supported production systems
- 99.9%
- Monitored workflows and applications under active support plans.
Illustrative sample
Client perspective
What working with us is like
Feedback from the operations, commercial and product leaders we partner with.
Illustrative sample
Technology
The right tool for each job, not the trendiest one
We are vendor-neutral. Frameworks, clouds and AI models are chosen for reliability, total cost and how easily your team can own them.
- Next.jsFrontend
- TypeScriptFrontend
- PythonBackend
- PostgreSQLDatabases
- AWSCloud
- DockerDevOps
- TerraformDevOps
- Anthropic ClaudeAI & ML
- PyTorchAI & ML
- Apache AirflowData & BI
- Power BIData & BI
- MakeAutomation
- HubSpotAutomation
- ReactFrontend
- Node.jsBackend
- FastAPIBackend
- RedisDatabases
- Google CloudCloud
- GitHub ActionsDevOps
- OpenAIAI & ML
- LangChainAI & ML
- scikit-learnAI & ML
- dbtData & BI
- n8nAutomation
- ZapierAutomation
- SalesforceAutomation
Insights
Field notes from real projects
Practical guidance on AI automation, data and software delivery: what works, what it costs and what to avoid.
Strategy
4 min read
Measuring AI Automation ROI: What to Track Before and After You Build
Hours saved is only part of the story. Here is how to set a baseline, count the full cost of running AI in production, and calculate a payback period that holds up under scrutiny.
bitNode Solutions Team
Data & Machine Learning
The Data Pipelines Behind Trustworthy Dashboards: Layers, Tests and Ownership
4 min read
Let's build
Ready to take manual work off your team's plate?
Tell us about the process, product or data problem you want solved. We'll come back with a clear, practical plan, not a sales deck.