PRODUCTION-READY INTEGRATION

Build intelligence into
the systems you already run.

We engineer intelligent capabilities directly into your enterprise applications, platforms, APIs, and operational workflows.

< 200ms
P99 Latency
99.99%
Uptime SLA
10×
API Reuse
Integration Topology
Active Mesh
SourceEDI & PDF Stream
➔
TargetSAP & Workday
01. Ingestion·Multimodal extraction
SYNCED
02. Validation·Chart of accounts check
SYNCED
03. Commit·Atomic write-back
SYNCED
Latency142ms
Throughput4.2k/min
SecuritymTLS Tokenized
01 — Full-Stack Integration Pipeline

From raw data to transactional ERP.

A clean, linear data conduit connecting sources, ingestion queues, neural models, API microservices, and enterprise backends.

BIDIRECTIONAL INTEGRATION CONDUIT
● 99.99% NOMINAL14,855 pkts routed
Active Stage
03 — AI & Model Core
Vector retrieval, neural weights & continuous inference
Wire Protocol
gRPC Triton C++
● Standardized Wire Format
Latency Target
18ms inference
Deterministic P99 SLA
Security Boundary
Private VPC Enclave
Zero-Trust Encrypted
02 — Core Engineering Services

Engineering capabilities built for production.

Everything required to transform raw machine learning into reliable, integrated, and reusable enterprise software.

#
Tag
Capability
Description
01
Connectivity
Enterprise Systems Integration
Seamlessly connecting AI models with SAP, Oracle, Salesforce, ServiceNow, Workday, and custom on-premise relational databases so solutions operate with real enterprise context.
02
Complete Software
Full-Stack AI Applications
We build the complete product—not just the model behind it. Custom web applications, mobile tools, and portals engineered with robust state management and modern UX.
03
Modular Services
Reusable Intelligence APIs
Build once, reuse everywhere. Microservices and standardized REST/GraphQL APIs exposing document extraction, NLP, recommendations, and predictions across all departments.
04
Cognitive Execution
Workflow Orchestration & Action
Uniting cognitive understanding with deterministic task automation. AI interprets ambiguous requests, validates business rules, and triggers automated downstream transactions.
05
Cloud Foundation
Scalable AI Platform Engineering
Architecting enterprise platforms uniting model registries, feature stores, rate-limiting API gateways, distributed caching, and real-time observability telemetry.
06
Data Ingestion
Enterprise Knowledge & Vector RAG
Constructing high-speed vector retrieval pipelines, hybrid semantic search, and document ingestion engines grounded in trusted corporate repositories.
07
Workplace UX
Employee Copilots & Internal Tools
Embedding contextual assistants directly into everyday employee software—reducing app-switching and empowering teams with instant document synthesis and task assistance.
08
Life Extension
Legacy Application Modernization
Injecting modern AI capabilities into aging core platforms without the risk and expense of multi-year rip-and-replace rebuilds.
03 — Departmental Integration Hub & Router

Connected intelligence across business functions.

Rather than isolated point-to-point scripts, our central AI Integration Layer dispatches synchronized intelligence to every corporate system via dedicated protocol adapters.

Finance & Accounting18ms
SAP S/4HANA · NetSuite · Coupa

Automated invoice ingestion, 3-way matching, fraud anomaly checks, and direct ERP journal entry posting.

Customer Operations12ms
Salesforce Service · ServiceNow · Zendesk

Context-aware ticket classification, autonomous resolution drafting, and omnichannel escalation routing.

Sales & Marketing16ms
HubSpot · Salesforce CRM · Marketo

Automated lead qualification, account intelligence enrichment, proposal drafting, and pipeline velocity scoring.

AI ROUTER
Mesh Core
LIVE 6-WAY
ACTIVE TARGET: Finance & Accounting
Human Resources22ms
Workday · BambooHR · Greenhouse

Resume synthesis, employee policy search copilots, automated onboarding workflows, and benefits assistance.

Supply Chain & Logistics9ms
Blue Yonder · Manhattan · SAP S/4HANA

Demand prediction, dynamic freight route recalculation, supplier risk tracking, and inventory threshold triggers.

IT & Engineering11ms
Jira · GitHub · Datadog · PagerDuty

Automated incident triage, root-cause diagnosis, code review assistance, and automated runbook execution.

LIVE MESH TELEMETRY TERMINAL · FINANCE & ACCOUNTING
PROTOCOL:SAP OData v4 / RFC BAPI|24,910 TOTAL EVENTS
>ENDPOINT: POST /bapi/acc-document-post[P99: 18ms]
✔[TX:9821] Inbound invoice parsed via multimodal OCR (99.8% conf)
✔[TX:9821] Chart of accounts verified against SAP General Ledger
✔[TX:9821] Atomic 2PC ledger journal posted · 14ms latency
04 — Operational Transformation

From fragmented experiments to connected operations.

Isolated Experiments — Before
—AI tools exist in standalone web portals disconnected from ERP
—Employees manually copy-paste data between screens and tools
—No access to live enterprise databases or current customer records
—Each new team attempts to reinvent the wheel with custom scripts
—Fragile point-to-point integrations break whenever schemas change
Waypoint AI Engineering — After
+Intelligence embedded directly within everyday enterprise applications
+Automated bi-directional data synchronization with SAP & Salesforce
+Standardized reusable API microservices serving all departments
+Resilient event-driven architecture designed for high throughput
+Continuous model observability, telemetry, and automated failover
05 — Automated Engineering Lifecycle

Structured path from discovery to scale.

A disciplined 9-stage engineering framework ensuring rapid delivery, airtight security, and seamless integration. Run the automated stage pipeline to inspect quality gates.

PIPELINE TRACER|Stage 01 of 09
3 / 9 GATES PASSED
STAGE 01

Discover

Audit existing software estate, API landscape, data sources, and business objectives.

Automated Quality GateArchitecture Blueprint Approved
Verification Time0.4s (Passing)
Core Engineering DeliverableAPI Inventory Matrix
06 — Production Performance

Built for enterprise reliability and speed.

High-throughput architectures with deterministic latency boundaries, live telemetry waveforms, and multi-region resilience.

not months
Weeks
Production Deployment

From isolated experiments to reliable enterprise production.

BENCHMARKEDLIVE SLA
across departments
10×
API Reusability

A single intelligent microservice serving every business unit.

BENCHMARKEDLIVE SLA
P99 target
< 200ms
Inference Latency

High-performance caching and model optimization for real-time UX.

BENCHMARKEDLIVE SLA
avoided rebuilds
$M+
Modernization Savings

AI-enhanced legacy systems outperform costly full replacements.

BENCHMARKEDLIVE SLA
via embedded copilots
+40%
Employee Productivity

Integrated assistants embedded in day-to-day corporate workflows.

BENCHMARKEDLIVE SLA
enterprise SLA
99.99%
Platform Availability

Multi-region redundancy, circuit breakers, and automatic failover.

BENCHMARKEDLIVE SLA
07 — Why Waypoint

We make technology work harder for your business.

01

Keep What Works

We integrate intelligence into your current systems instead of forcing costly, disruptive platform replacements.

02

Full-Stack Software Engineering

We build complete production systems—from responsive front-ends to low-latency cloud infrastructure.

03

Industrial-Grade APIs

Modular, versioned, and documented API services designed for seamless cross-departmental reuse.

04

Zero-Trust Enterprise Security

Role-based authentication, automated credential rotation, and data encryption baked in from day one.

05

Proven Legacy Expertise

Extensive experience interfacing modern AI with complex on-premise mainframe and monolithic databases.

06

Commercial Outcome Focus

Every integration sprint is tied directly to measurable operational savings and workflow velocity.

09 — AI SYSTEMS ENGINEERING FAQANSWER ENGINE OPTIMIZED

Frequently asked AI engineering & runtime questions.

Technical specifics on inference servers (Triton/vLLM), mainframe CDC connectors, canary MLOps rollbacks, and GPU token cost optimization.

We deploy Triton Inference Server, vLLM, TensorRT-LLM, and ONNX Runtime on Kubernetes (EKS/GKE). This architecture maximizes GPU tensor core utilization, minimizes latency, and reduces token inference costs by up to 60%.

Build What's Next

Ready to integrate intelligent capabilities into your business?

Don't replace your entire IT stack. We connect new intelligence to the software and databases your organization already depends on every day.