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As a leading automation workflow partner, we connect AI, APIs, and business systems into reliable end-to-end workflows. Our engineers help organizations automate ticketing, approvals, data sync, and customer operations without brittle scripts.
Automation tools we use
CUSTOM AUTOMATION WORKFLOW SERVICES
We've built workflow automation across CRMs, ERPs, support stacks, and custom backends. Whether you need event-driven pipelines or AI-assisted process automation, we can help.
We map your operational workflows and automate handoffs across teams, tools, and data sources. From intake forms to fulfillment, we replace manual steps with observable pipelines that include retries, alerts, and audit trails.
Many organizations stall after pilot automations that break under edge cases. We design workflows with explicit exception paths, human-in-the-loop checkpoints, and versioning so automations stay maintainable as rules change.
We embed LLMs and classifiers into workflows for routing, summarization, extraction, and decision support—without sacrificing control. Agents and models run inside guardrails with logging, evals, and fallbacks.
We connect AI steps to your existing systems via APIs and webhooks, ensuring outputs are validated before they update CRM records, tickets, or databases.
We integrate HubSpot, Salesforce, NetSuite, Jira, Slack, and custom apps into unified automation flows. Our engineers handle auth, rate limits, idempotency, and schema mapping so data stays consistent across platforms.
Whether you need bi-directional sync or event-triggered actions, we build integrations that scale with transaction volume and organizational complexity.
We automate repetitive tasks in legacy UIs and desktop workflows where APIs are limited, combining RPA with API-first steps where possible. Hybrid approaches reduce fragility while still unlocking value from older systems.
We document bot behavior, schedule runs safely, and monitor for UI changes that could affect reliability.
We implement queue-based and cron-driven workflows using cloud-native schedulers, message buses, and orchestration tools. Pipelines handle batch imports, nightly reconciliations, and real-time event processing.
Our teams design for observability—metrics, structured logs, and dead-letter queues—so failures are visible and recoverable.
We automate ticket triage, SLA tracking, escalations, and customer notifications. Support workflows connect help desks, knowledge bases, and billing systems to reduce response times and manual coordination.
We prioritize safe automation: clear ownership, rollback paths, and staged rollouts before full production traffic.
We build reliable data movement between warehouses, lakes, and operational databases. Workflows include validation, deduplication, and reconciliation steps so downstream teams trust the data they consume.
We align pipeline design with your analytics and compliance requirements, including PII handling and retention policies.
We add dashboards, alerting, and runbooks so operators can see throughput, error rates, and bottlenecks. Post-launch, we tune steps, retire redundant automations, and expand coverage as processes mature.
Our goal is sustainable automation—not one-off scripts that only the author understands.
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Our AI development team
Backed by 4000+ devs
We help organizations move from experimentation to execution, transforming AI prototypes into production-ready solutions. Backed by deep expertise, our teams deliver enterprise-grade solutions that integrate with your existing systems.
Speak With Our TeamOur AI experts have an average of 8+ years of experience in data science, machine learning techniques, multi-layered neural networks, and other disciplines vital to providing exceptional AI development services. Every engineer passes a multi-stage evaluation covering multiple aspects of AI model architecture and development. We have a large talent pool and work on multiple engagements at any given time, allowing our engineers to develop highly specialized skill sets for specific AI projects.
Most companies stall when moving from proof-of-concept to scalable AI deployment. We bridge that gap with strong architectural foundations, internally developed CI/CD pipelines for machine learning models, and refined model observability practices. Whether we're implementing AI for business process automation or optimizing model latency for a mobile app, we take ownership to ensure your AI development project is production-ready.
Security and compliance aren't optional in AI development. They're essential due to the sheer volume of data involved and the sensitive nature of proprietary data. Whether handling personal health information, financial records, or proprietary business logic, our AI systems are built with enterprise-grade safeguards from day one. We've delivered AI services for clients in regulated industries, and our engineers are fluent in aligning AI model governance with HIPAA, SOC 2, ISO 27001, and other relevant standards.
About EdgeConsulx
EdgeConsulx is a US-based company powered by LATAM dev teams. Since 2009, we've built software for companies of all sizes—from scrappy startups to Fortune 500 giants. In fact, we're one of the fastest-growing software development companies in the world. If you're looking for onshore quality with nearshore benefits, we're the partner for you.
1250+
Projects Delivered
4000+
Developers On Staff
96%
Client Retention Rate
500+
Active Clients
How we work
From code quality to compliance, we've optimized every part of how we work to support high-performing engineering teams. For you, that means clearer communication and smoother delivery. Plus, get peace of mind from having a development partner you can depend on.
Vetted Senior Talent
We hire the top 1% of over two million applicants, so you only work with the best.
We give you engineers who've already proven they can deliver. Our rigorous evaluation process includes technical tests, English assessments, soft skill screening, problem-solving simulations, and more. Out of over 2 million applicants who apply yearly, fewer than 1% get the chance to join our team. This is how we ensure you get highly qualified developers who are experts in their fields.
Timezone Aligned
We work your team's hours, which creates faster feedback loops and fewer blockers.
Our nearshore software engineers share your workday, answering Slack messages, joining daily stand-ups, and presenting demos in real time. Project management is streamlined, questions are answered quickly, blockers are resolved as they come up, and simple code reviews take minutes, not days.
Proficient in English
Our engineers have strong English skills, so communication and documentation are clear.
Our engineers have 8+ years of experience collaborating with US teams. They excel at articulating complex technical concepts to diverse stakeholders, producing meticulous documentation, and driving technical discussions. This eliminates the ambiguity common with global teams.
Full-stack Capabilities
With expertise in 100+ technologies, we have every specialist your project requires.
We cover architecture, development, testing, DevOps, and everything in between—reducing hand-offs and creating better architecture decisions for a smoother path from concept to production.
Scalable Teams
Our bench strength lets you scale engineering teams to meet new demands in weeks.
With 4,000+ engineers on staff and thousands more in our pipeline, we can spin up pods or scale multiple teams across your company in days—so you hit aggressive timelines without bottlenecks.
Standard MSAs & SOWS
We're easy to onboard because we work the way your legal team expects us to.
Because we're based in the US, we follow the same legal standards your team already trusts—using MSAs, SOWs, and documentation that fit your procurement process.
NDAs & IP Protection
We take data and IP seriously, with full protection baked into every engagement.
Every engagement begins with a mutual NDA and clear IP ownership terms. Our secure workflows and confidentiality protocols also protect existing codebases and proprietary data.
Enterprise-grade Security
Our devs follow security protocols that meet even the strictest enterprise standards.
Our engineers work only within the systems they need, using strict access control, audit-friendly workflows, secure repository storage, and more—bringing enterprise-grade protection to every engagement.
Managed Delivery
We actively track our devs' work to make sure they consistently meet expectations.
Delivery managers monitor progress, resolve blockers, and report regularly, so you never have to chase updates or second-guess performance.
Work with our automation workflow experts.
Automation case studies
We've automated workflows across legal, media, logistics, and utilities—from HubSpot campaign pipelines to MLOps and infrastructure monitoring—helping teams ship faster with fewer manual steps.
Our client needed to automate the time-consuming task of summarizing lengthy legal transcripts. We built an AI tool capable of summarizing 200–300 pages in under 4 seconds. The tool anonymizes sensitive data, returns editable Word and PDF files, and includes hyperlinks to retain source visibility.
We connected an AI video platform to HubSpot using Workflow Extensions and CRM Cards, enabling asynchronous video generation per contact. A webhook system stores each video URL in HubSpot fields, streamlining distribution and eliminating manual steps.
We provided full-stack engineering for a development environment used to build and test AI pipelines with LLMs, improving performance, scale, and iteration speed for data science teams.
We advanced robotic arm automation with ROS2 simulations, CAN bus integration, and improved video-based segmentation for pose detection and tool tracking in production environments.
We automated catalog classification pipelines and MLOps workflows, cutting per-million classification costs and latency while improving accuracy with RAGFusion and semantic chunking.
We built cloud infrastructure and REST APIs to connect AI-powered inspection robotics with monitoring dashboards, reducing manual review by 90% through automated diagnostics workflows.
Looking for a team with this kind of track record? Tell us more about your AI needs.
Talk to an expertAutomation Experts
Our teams use modern AI coding and orchestration tools to design, test, and ship workflows faster while keeping runbooks and observability in place.
TOOLS FOR AUTOMATION WORKFLOWS
We combine orchestration platforms, integration middleware, and AI components to build workflows that are reliable, observable, and easy to extend as your stack evolves.
We use high-performance frameworks to build, train, and optimize deep learning models across different use cases. Our engineers follow proven internal playbooks for model architecture, training workflows, and performance optimization.
Our engineers leverage robust machine learning libraries for predictive modeling, classification, and regression. We follow well-documented internal processes to standardize feature engineering, model evaluation, and hyperparameter tuning.
We design and implement high-throughput data pipelines to support real-time decision-making. Our data engineers build workflows that transform raw inputs into feature-rich datasets using scalable orchestration and ETL tools.
Efficient data preparation and transformation are essential for reliable model outputs. Our teams apply proven workflows to streamline data validation, anomaly detection, and exploratory analysis.
We deploy and scale models using secure, cloud-native services optimized for GPU training and auto-scaling. Our engineers have deep experience across AWS, Google Cloud, and Azure managed ML ecosystems.
We write, test, and debug AI software in modern, collaborative IDEs that support reproducible workflows and version-controlled experimentation across distributed teams.
To reduce manual overhead and improve code quality, we integrate AI-powered coding assistants into engineering workflows for smart suggestions, documentation, and automated error detection.
We serve models at scale using frameworks designed for high availability, low latency, and compatibility across inference runtimes with structured deployment playbooks.
We implement monitoring and lifecycle workflows to track performance drift, retrain triggers, and version histories with dashboards, alerts, and audit trails.
Curious how we'd approach your automation workflow project?
Talk to an expertNeed Automation development expertise?
Plug us in where you need us most.
We customize every engagement to fit your workflow, priorities, and delivery needs.
Staff Augmentation
Get senior, production-ready developers who integrate directly into your internal team. They work your hours, join your standups, and follow your workflows—just like any full-time engineer.
Dedicated Teams
Spin up focused, delivery-ready pods to handle full builds or workstreams. Together we align on priorities. Then our tech PMs lead the team and drive delivery to maintain velocity and consistency.
Software Outsourcing
Hand off the full project lifecycle, from planning to deployment. You define the outcomes. We take full ownership of the execution and keep you looped in every step of the way.
We have reps across the US.
Speak with a client engagement specialist near you.
Tell us more about your needs. We'll discuss the best-fit solutions and team structure based on your success metrics, timeline, budget, and required skill sets.
With project specifications finalized, we select your team. We're able to onboard developers and assemble dedicated teams in 2-4 weeks after signature.
We continually monitor our teams' work to make sure they're meeting your quantity and quality of work standards at all times.
AI DEVELOPMENT PROCESS
We've refined our AI development services across dozens of production deployments. Whether you need end-to-end execution or specialists embedded in your team, we step in wherever you need us to move from prototype to production without friction.
Automation resources.
Scale your AI roadmap with senior engineers in weeks, not months.
Hand off discovery through deployment with a dedicated nearshore team.
Discover key strategies to improve software reliability throughout development. Enhance quality and performance with actionable insights.
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