Certified AI & Engineering Partner · US-Registered · Est. 2012
US HQ
EV Software
OCPP / OCPI / ISO 15118
ISO 27001
GDPR · NEVI Aware
EV Software Lives or Dies in the Field. We Engineer for the Field.
AI-native EV software for charging networks, fleets, and OEMs — OCPP / OCPI charging platforms, fleet management and telematics AI, battery analytics, V2G and smart-grid integration, ISO 15118 Plug & Charge. Built for uptime, audit, and scale. ISO 27001 certified. US-registered.
Buyer Types Served
CPOs · Fleets · OEMs
Standards Supported
OCPP 1.6 / 2.0.1 · OCPI 2.2.1
Project Range
$15K – $360K+
Built for EV Procurement
Why CPOs, Fleets & OEMs Choose AddWeb
🇺🇸
US-Registered Entity
Greenville, SC headquarters with US-based account managers. Simplifies procurement, NEVI program participation, and IP transfer for North American and European EV buyers.
⚖
Standards-Native
OCPP 1.6 + 2.0.1, OCPI 2.2.1, ISO 15118, OpenADR. Not learning these on your dollar — these are how our EV practice ships.
⚡
Materially Lower TCO
Same engineering caliber as US-based EV consultancies at materially lower total cost — through global delivery without offshore quality compromise.
★
Verified Track Record
4.9 Clutch rating from 74+ verified reviews. 98% client retention. 1,000+ projects shipped. 4.2-year average client relationship.
The Cost of Field Failure
Sound Familiar?
EV software fails in three predictable ways: chargers that go offline at 11pm Friday and stay offline until Monday; fleet AI that backtests perfectly and breaks the moment cold weather drops range by 20%; and OEM driver apps that look beautiful in the demo and crash in the parking lot. Most EV vendors solve for the demo. We solve for the field.
”
CPO Pain
Our packaged charging platform handles 70% of our use cases. The other 30% are exactly what our enterprise customers keep asking for — and what our roadmap can’t deliver.
”
Fleet Pain
Our drivers are stranded twice a week because the charging schedule does not understand cold weather, route deviations, or that station that always has one broken stall. We need software that understands reality.
”
OEM Pain
Our connected vehicle backend was built five years ago for a different business. Now we have driver apps, third-party data partners, and OTA pressure — and a backend that cannot scale to it.
”
Energy Pain
Our utility wants V2G participation. Our regulator wants demand-response data. Our customers want one bill. We have nothing that talks to all three.
OUR STANCE
In EV mobility, downtime isn’t a bug. It’s a stranded driver. We engineer for both.
We are not a body shop. We are not a feature factory. When we ship EV software, we ship the OCPP integration tested against real chargers, the fleet AI validated in cold weather, the audit trail your regulator can read, the driver app QA’d in actual parking lots, and the runbooks your operations team will use at 2am. Engineering integrity is not optional in a 24×7 charging network.
What We Build
Five Capabilities Across Three Buyer Types
Each capability ships standalone or as part of a unified EV platform. Most clients engage on one and expand to two or three over 12–18 months as their EV operations scale.
CAPABILITY 01
Charging Network Software (OCPP / OCPI)
For Charge Point Operators
“Charger states, sessions, payments, uptime — at network scale.”
End-to-end charging back office: OCPP 1.6 + 2.0.1 station communication, OCPI 2.2.1 roaming, ISO 15118 Plug & Charge support, real-time station monitoring, driver app, operator console, billing, and CRM. Built for networks scaling past the limits of packaged platforms.
Node.js
Kafka
PostgreSQL
Redis
OCPP Libs
CAPABILITY 02
Fleet Management & Telematics AI
For Fleet Operators
“Range anxiety, but for your COO.”
AI-driven fleet operations: real-time range prediction, charging-schedule optimization against time-of-use rates and grid load, driver behavior analytics, predictive maintenance for batteries and drivetrains, and tight integration with Geotab, Samsara, and OEM telematics APIs.
PyTorch
Time-Series ML
Geotab API
Samsara API
AWS IoT
CAPABILITY 03
Connected Vehicle & Driver Apps
For OEMs & Tier-1s
“The car is a data product. We help you ship it that way.”
Connected-vehicle backends and driver-facing apps for EV OEMs and Tier-1 suppliers: telemetry ingestion at scale, companion driver apps, OTA update infrastructure planning, AI-assisted service diagnostics, and privacy-preserving driver insights — built on AWS IoT Core or Azure Digital Twins.
AWS IoT Core
Azure Digital Twins
React Native
Flutter
gRPC
CAPABILITY 04
Battery Analytics & SoH Prediction
For OEMs + Fleets
“State of Health is the asset value. Get it wrong and the math collapses.”
ML-driven battery analytics: State-of-Health (SoH) modeling at cell and pack level, State-of-Charge accuracy improvement, degradation forecasting, warranty-risk modeling for OEMs, and second-life valuation for fleet asset disposition. Built on time-series ML against your real telemetry data.
PyTorch
TensorFlow
Time-Series ML
IoT Data Lakes
MLflow
CAPABILITY 05
V2G, Smart Grid & Demand Response
For CPOs + Utilities
“From load to asset. Your fleet earns money parked.”
Bidirectional charging orchestration, OpenADR 2.0b grid signaling, IEEE 2030.5 utility integration, demand-response program participation, and virtual-power-plant aggregation. Built for the V2G use cases that ship in production today — managed depot charging, VPP aggregation, and approved bidirectional vehicles.
OpenADR 2.0b
IEEE 2030.5
AWS IoT
Real-time Orchestration
CAPABILITY 06 — DISCOVERY
EV Opportunity Assessment
Start Here If Unsure
“Build, buy, partner — or wait. We help you decide.”
A 45-minute strategy call followed by a 2–3 week feasibility audit. We assess your buyer position (CPO / fleet / OEM), your existing stack, your build-versus-buy options against AMPECO, EV Connect, Driivz, and others, and produce a calibrated roadmap. Whether or not we work together afterwards.
Free 45-min Call
$15K Discovery Sprint
Fixed Scope
System Architecture
How the EV Stack Fits Together
Four layers. Each independently swappable. Cloud-agnostic, vendor-agnostic, standards-native — so you are never locked into a single charger OEM, telematics provider, or cloud.
Layer 4 — Apps
Driver + Operator Apps
React Native · Flutter · Web dashboard · Voice / chat
Layer 3 — AI & Analytics
Battery · Routing · Forecasting
PyTorch · TensorFlow · MLflow · Feature store
Layer 2 — Platform
Charging + Roaming Core
OCPP 2.0.1 · OCPI 2.2.1 · Kafka · PostgreSQL
Layer 1 — Hardware
Chargers + Vehicles
ABB · Siemens · Wallbox · Geotab · OEM telematics
↑↓ Bidirectional data flow · Sub-second charging events · Async sync to analytics ↑↓
Why this matters: Layer 1 (chargers + vehicles) and Layer 2 (platform core) must not depend on Layer 3 or 4 to deliver a charging session. A cloud outage or AI model failure should not stop a driver from charging their car. Our architecture isolates real-time charging operations to the platform core while async-syncing analytics and driver-app features to the cloud.
For Your Segment
EV Software We Deploy Across the Mobility Stack
Six segments. Same engineering core, calibrated for the specific KPIs, regulators, and integrations that matter to each buyer type.
Charge Point Operators
Charging Network Platforms at Scale
End-to-end software for public, workplace, and depot charging networks — from station onboarding through driver billing to multi-network roaming.
Core Use Cases
OCPP/OCPI back office · Driver app · Roaming integration · Pricing engines · Uptime analytics · Field service dispatch
Typical KPIs
Network uptime % · Sessions per charger per day · Time-to-charge · Roaming revenue · Customer NPS
CLIENT VALUE
NEVI-eligible architecture. OCPI roaming live in months, not years. Differentiated driver UX vs. packaged platforms.
Fleet Operators
Logistics, Last-Mile & Corporate Fleets
Fleet electrification AI — charging-schedule optimization, route assignment with battery state, predictive maintenance, and depot-charger orchestration. Built for fleets running 50 to 50,000 vehicles.
Core Use Cases
Charging schedule AI · Route + range optimization · Driver behavior · Predictive maintenance · Depot orchestration
Typical KPIs
Cost per mile · Fleet utilization · Range incidents · Charging cost % · Vehicle availability
CLIENT VALUE
Lower charging cost without sacrificing availability. Fewer stranded drivers. Audit-ready predictive maintenance.
EV OEMs & Tier-1s
Connected Vehicle & Driver Experience
Connected-vehicle backends, driver companion apps, OTA infrastructure planning, and AI-driven service diagnostics for automakers and Tier-1 suppliers building modern EV experiences.
Core Use Cases
Connected-vehicle data pipelines · Driver app · Service diagnostics AI · OTA infrastructure · Aftermarket data products
Typical KPIs
App engagement · Service appointment lift · OTA success rate · Connected services attach · Driver retention
CLIENT VALUE
Modern connected backend without disrupting production lines. GDPR / CCPA / DPDP-compliant driver data. Differentiated app experience.
Energy Utilities
Smart Charging & Grid Programs
Utility-side EV programs — managed charging tariffs, demand response, V2G pilots, and integration with charging networks under utility programs. Built for cooperatives, IOUs, and municipal utilities.
Core Use Cases
Managed charging programs · OpenADR signaling · IEEE 2030.5 integration · Customer apps · Settlement analytics
Typical KPIs
Peak load reduction · DR participation · Program enrollment · Customer satisfaction · Settlement accuracy
CLIENT VALUE
Regulator-ready data. Demand-response programs that scale. Customer apps that reduce service calls.
Mobility-as-a-Service
Ride-Share & Subscription EV Platforms
Driver-facing software for EV ride-share, subscription mobility, and short-term rental platforms. Charging-stop guidance, fare engines that account for charging time, and operator dashboards built for EV-specific economics.
Core Use Cases
Driver charging guidance · Charging-aware dispatch · Fare engines · Subscription billing · Vehicle health dashboards
Typical KPIs
Driver utilization · Charging cost per trip · Vehicle availability · Subscription churn · App ratings
CLIENT VALUE
EV economics that work for ride-share. Drivers stay charged without losing trips. Operators get charging visibility.
Public Sector
Municipal Fleets & Public Charging
Software for state and municipal EV programs — public charging deployment under NEVI, transit-bus depot charging, government fleet electrification, and accessibility-compliant driver experiences.
Core Use Cases
NEVI-aligned charging · Transit depot orchestration · Government fleet AI · ADA-compliant apps · Procurement reporting
Typical KPIs
Uptime % (NEVI requirement) · Public-charging availability · Fleet electrification rate · Cost per session · Audit pass rate
CLIENT VALUE
NEVI uptime compliance. Procurement-ready documentation. ADA-aware driver experiences. Audit trail by default.
Don’t see your segment?
If your operation involves chargers, batteries, or electric vehicles — and the software it runs on is not yet good enough — EV software probably applies.
Our Delivery Model
US-Registered. Globally Delivered. No Compromise on Quality.
The structure that lets us match US-based EV consultancies on engineering caliber while delivering materially lower total cost of ownership.
US-Registered Headquarters in Greenville, SC. Account managers and senior architects based in the US for procurement, NEVI program participation, IP transfer, and on-site engagements with North American CPOs, fleet operators, and OEMs. Dedicated NJ office for Northeast clients.
Senior Engineering Center in Ahmedabad, India. 160+ engineers including ML scientists, EV protocol specialists, embedded systems engineers, mobile developers, and full-stack engineers. ISO 9001 + 27001 certified facility. Same caliber as US-based teams at materially lower cost.
4-Hour Daily Time Zone Overlap with US Eastern and Pacific. Daily standups in your time zone. Senior engineers travel for charger-vendor coordination, on-site validation, and regulator-facing engagements. One accountable account lead — never handoffs across geographies.
13+ yr
In Production
Since 2012
98%
Client Retention
Industry-Leading
4.2 yr
Average Client
Relationship
160+
Senior Engineering
Headcount
Technology Stack
The Production EV Stack We Deploy
Vendor-agnostic engineering. Standards-native. Final selection driven by your existing infrastructure, charger OEM choices, and cloud preferences.
Standards & Protocols
OCPP 1.6 + 2.0.1
Charger-to-cloud communication
OCPI 2.2.1
Roaming + inter-network interop
ISO 15118 / -2 / -20
Plug & Charge authentication
OpenADR 2.0b
Demand response signaling
IEEE 2030.5
Utility communication (CSIP)
Charging Networks
AMPECO
Multi-region CPO platform
EV Connect
North American CPO operations
Driivz
Enterprise charging management
ChargePoint Network
Public + workplace integration
Custom OCPP Backends
When packaged platforms hit limits
Charger Hardware (OCPP-tested)
ABB · Siemens · Delta
DC fast charging
Wallbox · ChargePoint HW
Workplace + home AC
Tritium · Kempower
Heavy-duty + bus depot
ENGIE Eways · Power Electronics
European fleet + public
Custom firmware coordination
OEM-direct integration
Telematics & Fleet Data
Geotab
Fleet telematics platform
Samsara
Connected-fleet operations
Verizon Connect
North American fleet data
OEM Telematics APIs
Direct vehicle data ingestion
Smartcar
Cross-OEM driver integration
Cloud & AI Platform
AWS IoT Core + SageMaker
Connected-vehicle + ML
Azure Digital Twins + ML
OEM-grade backends
GCP IoT + Vertex AI
Cross-region EV platforms
PyTorch / TensorFlow
Battery + routing ML
MLflow
Model registry + tracking
Apps, Payments & Identity
React Native · Flutter
Driver + operator apps
Native iOS / Android
OEM-grade app experiences
Stripe · Adyen
Charging payments
RFID + NFC + Plug & Charge
Driver authentication
OAuth 2.0 + OIDC
Driver + fleet identity
Delivery Process
How EV Software Engagements Run
Six phases. Each with defined deliverables, sign-off gates, and clear go/no-go decisions. The same methodology we use for $15K Discovery Sprints and $360K+ multi-platform engagements.
01
Weeks 1-3
Discovery + Stack Audit
Buyer-position assessment. Existing-stack audit. Charger / telematics inventory. Build-versus-buy analysis vs. AMPECO, EV Connect, Driivz. Output: feasibility report with calibrated cost, timeline, ROI model.
02
Weeks 4-6
Architecture + Standards Design
Full architecture, OCPP/OCPI message flow, charger compatibility matrix, integration design with telematics + payment + identity providers — reviewed before any code is written.
03
Weeks 7-10
Build + Charger Integration Testing
Platform build with parallel charger-OEM compatibility testing using OCPP simulators across major manufacturer profiles. AI models trained on your data. Driver app + operator console developed concurrently.
04
Weeks 11-13
Pre-Production Validation
Full system tested against contractual KPIs before any field deployment. OCPP message replay, OCPI roaming validation, AI model performance, app QA on real devices.
05
Weeks 14-16
Pilot Site + Phased Rollout
Live deployment to a pilot site or pilot fleet under monitoring. Phased ramp from 1% to 100% of network/fleet traffic. Operations team approval at every promotion gate.
06
Weeks 17-18+
Handover + Optional Support
Full IP transfer. Source code, AI models, integration configs, runbooks. Optional Annual Support Contract for monitoring, retraining, OCPP version upgrades, and capability expansion — or full handoff to your team.
// Engagement Models
How You Engage Us
Three commitment tiers. Discovery validates feasibility before you commit capital. Production Build deploys a single capability end-to-end. Multi-Platform engages at network or OEM scale across multiple capabilities.
Discovery Sprint
“Should we build, buy, or partner?”
2-3 week fixed-scope feasibility audit. Best for EV teams unsure whether custom build, packaged platform, or partnership is the right answer for their buyer position.
$15K – $22K
2-3 weeks · fixed price
Multi-Platform Engagement
“Standardize. Scale. Centralize.”
Phased rollout across 3+ capabilities, multiple buyer positions, or multi-region operations. Standardized architecture, centralized monitoring, dedicated practice embed.
$360K+
6-12 months · phased delivery
Annual Support Contract: Optional starting at $9,500 USD per year. Includes uptime monitoring, OCPP version upgrades, model retraining, and 24-hour engineering response on production incidents.
Pricing ranges shown for transparency. Exact quotes depend on capability scope, charger / telematics integration count, data volume, and regulatory environment. Discussed in Discovery.
Typical Payback: 6–14 Months
For CPOs: typical payback in 9-14 months driven by uptime improvement and roaming revenue capture. For fleet operators: 6-12 months from charging-cost optimization and reduced range incidents. For OEMs: longer (18+ months) but higher strategic value from connected-vehicle data products. Discovery includes a calibrated ROI model based on your actual operations.
// The Honest Comparison
AddWeb vs. US EV Consultancies vs. Packaged Platforms
Three paths to EV software. Each has trade-offs. Here is the unbiased comparison.
Factor
AddWeb (US-Reg + Global Delivery)
US EV Consultancies
Packaged (AMPECO / Driivz / EV Connect)
All comparisons based on typical mid-market enterprise EV engagements in North America and Europe. Actual figures vary by scope, charger count, and fleet size.
Low-Risk Engagement
How We Make EV Software Low-Risk
Most EV software fails in the field, not in development. We have engineered five concrete safeguards to flip those odds.
01
Discovery Truth
If our 2-3 week Discovery determines you should buy a packaged platform instead of build, we tell you. You pay only for Discovery — never for the wrong build.
02
NDA-First Always
Mutual NDA before any data review. Every engineer signs an individual NDA. ISO 27001 certified. Default architecture: your charging and driver data never leaves your environment.
03
Pre-Field Validation
OCPP simulator testing against your selected charger profiles. OCPI roaming validation. Full system tested against contractual KPIs before any field deployment.
04
Phased Field Rollout
Pilot site or pilot fleet first. Live traffic ramps 1% → 100% in monitored stages. Final 20% payment only releases after the system meets contractual uptime + performance KPIs in production.
05
Full IP Transfer
Source code, AI models, training pipelines, runbooks — all yours on completion. No retention, no lock-in, no perpetual license fees, no per-charger or per-session fees.
Compliance & Standards
Built to Pass EV Procurement
EV software requires more than working code. It requires audit-ready documentation, certified processes, and standards-aligned engineering for the regulators and program offices that actually fund the deployment.
ISO 9001 + 27001
Quality Management + Information Security. Both certified. Audit-ready for enterprise procurement.
ISO 15118 Plug & Charge
Vehicle-to-charger authentication and bidirectional support. Standards-native engineering.
NEVI Aware
97% uptime, OCPP, ADA, and procurement reporting requirements built into architecture from day one.
Driver Data Privacy
GDPR · CCPA · DPDP. Driver consent management, location-data minimization, region-specific residency.
AddWeb AI Suite
This Is One Industry. We Run an Entire AI Practice.
Three owned AI products. Four years of production AI work. Open-source contributions on Hugging Face and Kaggle.
Beyond EV Software, AddWeb operates a full AI Solutions practice covering Generative AI & LLM development, AI Agents & Automation, Custom ML, Computer Vision, AI Voice Agents, AI for Fintech, and AI Robotics for Manufacturing. Three of our AI products are in production today:
AddWeb AI
Customizable AI Platform for Business Workflows
EcomSupport360
AI-Powered eCommerce Automation
WeWP
AI-Driven WordPress Hosting
Six Commitments
How We Engineer EV Software
01
Intelligence First
AI-native since 2022 — embedded into your stack, not bolted on top.
02
Surgical Precision
Standards-native engineering. FAT + field validation. Calibrated KPIs. Audit-ready documentation.
03
Partner Not Vendor
4.2 year average relationship. 98% retention. We grow with you.
04
Verified Authority
Open-source proof on Hugging Face + Kaggle. ISO 9001 & 27001 certified.
05
Radical Transparency
Sprint reviews. Milestone reports. Direct engineer access. You see everything.
06
Built for What’s Next
13+ years shipping. 1000+ projects. Real production EV today.
Book Your Call with a
Full Stack Expert
Ravi Maniyar
Director – Full Stack Development
With 13+ years of experience in JavaScript, TypeScript, and React Native, building high-performance web and mobile applications with scalable, clean architecture.
Free Resource
The 30-Point EV Software Readiness Checklist
Before you commit $85K+ to an EV software project, audit your readiness across 30 critical factors — buyer-position clarity, charger compatibility, telematics integration, OCPP/OCPI scope, build-versus-buy criteria, NEVI alignment, driver-data privacy, team readiness. Used by CTOs, Heads of EV, and program directors to de-risk EV software investments.
// FAQs
Questions CTOs & Heads of EV Ask
It is the engineering of software systems that run electric mobility — charging network platforms (OCPP, OCPI, ISO 15118), fleet management and telematics, battery analytics, route and energy optimization, V2G and smart-grid integration, and connected vehicle apps for OEMs. AddWeb builds production-grade EV systems for charge point operators, fleet operators, and EV OEMs across North America, Europe, and APAC.
Discovery Sprints start at $15,000 USD. Single-platform production builds (a charging back office, fleet AI module, or OEM driver app) typically range from $85,000 to $145,000 USD. Multi-platform engagements (multiple capabilities or multi-region rollouts) start at $360,000 USD. Annual support contracts start at $9,500 USD per year. Final pricing is calibrated during your Discovery Call.
Yes. AddWeb Solution maintains its US headquarters in Greenville, South Carolina, with additional offices in New Jersey and Melbourne, Australia. Our delivery center is in Ahmedabad, India. This US-registered structure simplifies procurement, contracting, and IP transfer for North American and European EV clients — including NEVI-funded public charging programs.
OCPP 1.6 and 2.0.1 for station-to-cloud communication. OCPI 2.2.1 for roaming and inter-network interoperability. ISO 15118 for Plug & Charge. OpenADR 2.0b and IEEE 2030.5 for utility and demand-response programs. We also integrate OEM telematics APIs (Geotab, Samsara, Verizon Connect) and major charging network APIs.
A 2 to 3 week Discovery Sprint validates feasibility and produces a fixed-scope proposal. Standard production builds run 12 to 18 weeks from PO to live deployment. Multi-platform engagements run 4 to 6 months. Multi-region or multi-OEM rollouts run 6 to 12 months and are delivered in phases.
Three primary buyer types: charge point operators (CPOs) deploying public, workplace, and depot charging networks; fleet operators electrifying logistics, delivery, ride-share, and corporate fleets; and EV OEMs and Tier-1 suppliers building telematics, driver apps, and connected-vehicle data products. We also serve energy utilities running smart-charging programs and public-sector agencies managing municipal fleet electrification.
Yes — fully. On final payment, all source code, AI models, training data pipelines, integrations, and runbooks transfer to your team. No retention. No lock-in. Master Service Agreement assigns 100% of IP to your company. Hardware vendor warranties pass through from the OEM as standard.
Yes. Our EV practice is built to work with major ecosystem platforms — AMPECO, EV Connect, Driivz, ChargePoint Network for charging; Geotab, Samsara, Verizon Connect for telematics; and OEM telematics APIs. We support major cloud platforms (AWS IoT Core, Azure Digital Twins, GCP IoT) and standard payment processors (Stripe, Adyen). We adapt integrations to your existing stack — we do not force you onto ours.
Data residency is a first-class architectural decision. We support EU, UK, US, India, and Australia data-residency requirements. Default architecture: customer and driver data never leaves your environment. We design for GDPR, CCPA, and DPDP compliance from day one — including driver consent management, location-data minimization, and driver-app privacy controls.
V2G is shipping in production today, but only for specific use cases — managed depot charging for fleets, virtual power plants for utilities, and bidirectional vehicles approved for V2G operation. We build the orchestration layer (OpenADR signaling, IEEE 2030.5, dispatch scheduling) and integrate with the bidirectional chargers and approved vehicles in your scope. We do not promise V2G economics that depend on regulatory approvals you do not have.
Most charger integration is software-side via OCPP. We test against major manufacturers (ABB, Siemens, Wallbox, ChargePoint hardware, Delta, ENGIE Eways, Tritium, Kempower) during Discovery and Factory Acceptance Testing. For deep integrations or custom firmware coordination, we work directly with the OEM during your station selection. We document supported and unsupported chargers in the Discovery deliverable before any procurement.
Packaged platforms are excellent for standardized network operations under ~500 stations. Custom builds make sense when you need: differentiated driver UX, multi-network roaming logic that the platform does not support, custom pricing or revenue-share models, deep integration with your existing fleet or energy system, or sovereign data residency. We assess fit honestly during Discovery — if a packaged platform serves you better, we will tell you.
For CPOs: typical payback in 9 to 14 months, driven by uptime improvement, reduced support cost, and roaming-revenue capture. For fleet operators: 6 to 12 months, driven by charging-cost optimization, reduced range incidents, and fleet utilization. For OEMs: longer (18+ months) but higher strategic value, driven by connected-vehicle data products and customer retention. Discovery includes a calibrated ROI model based on your actual operations.
Yes. Schedule a Discovery Call with our EV practice. We will review your buyer type (CPO / fleet / OEM), your existing stack, your data, and your regulatory environment, and tell you directly whether build, buy, or partner is the right answer for your specific problem. No sales pitch.
Your Move
Three Ways to Start. Pick Your Commitment Level.
From a 30-minute Discovery Call to a free readiness checklist, every entry point is designed to give you something useful before you commit a dollar.
We respond within 30 business min · NDA available on request · ISO 27001 certified · US-registered
