Work with AI agent experts trusted by the world's top tech teams.
As a leading AI agent development company, we deliver agentic systems that go beyond simple chatbots. Our engineers help organizations build autonomous agents with memory, tool use, and guardrails integrated into production products.
AI Coding tools we use
Clutch
CUSTOM AI AGENT DEVELOPMENT SERVICES
You've probably used products built by our AI agent engineers.
We've developed custom agentic AI systems across industries. Whether you're building autonomous agents for operations or embedding LLM copilots into your product, we can help.
Agentic AI Systems and Custom LLM Projects
We build advanced agentic AI systems and custom LLM applications that move beyond simple chatbots, enabling dynamic interactions and intelligent task execution.
Many companies struggle to move from simple LLM integrations to robust, production-grade agentic systems. Our engineers design reliable architectures with memory, tool use, and safety layers, ensuring production-ready solutions that align with your business goals and technical requirements.
Machine Learning Models
We create machine learning models tailored to your data and business goals. Our AI development services cover everything from data collection and feature engineering to model training and deployment.
Many clients come to us after struggling with brittle models or hard-to-maintain code. We build pipelines that adapt to shifting data inputs and evolving business needs with clear modeling standards, built-in observability, and engineering patterns designed for long-term viability.
AI-Powered Predictive Analytics
We engineer AI-driven forecasting solutions for customer behavior, demand planning, risk detection, and more. Our predictive analytics pipelines help you turn data into outcomes using statistical models and real-time data streams.
The biggest hurdle in predictive analytics isn't modeling—it's aligning models with business processes. Our AI engineering teams focus on designing systems that plug into your workflows so decision-makers get timely, relevant outputs.
Natural Language Processing (NLP)
Our AI expertise allows companies to implement natural language processing pipelines for semantic search, sentiment analysis, intelligent chatbots, and more. We use LLMs and NLP frameworks to surface trends, uncover opportunities, and boost efficiency.
We deploy NLP at scale by combining transformer models, vector search, and data pipelines that handle streaming and historical data. Our systems integrate into existing platforms, comply with data privacy standards, and support model fine-tuning and optimization.
Custom AI for Business Process Automation
We build AI solutions that streamline business operations, ranging from ticketing and predictive customer support to claims processing and fraud detection. We integrate AI tools, robotic process automation (RPA), and backend workflows to increase operational efficiency.
Practical AI solutions start with well-mapped workflows, thoughtful exceptions, and effective handoffs. We identify what can and should be automated, structure input/output pipelines, and create fallback logic so solutions evolve with shifting business needs.
Generative AI Product Development
We integrate generative AI features into enterprise platforms to enable personalized marketing, automated content creation, and virtual assistants. Our solutions rely on secure prompt engineering, output validation, and granular LLM tuning aligned with brand voice and compliance.
We help businesses navigate generative AI risks by enforcing data boundaries, configuring content filters, and integrating human-in-the-loop controls to prevent off-brand or non-compliant outputs.
Data Analysis and Business Intelligence Platforms
We build enterprise-grade data analysis, business intelligence, and data visualization platforms. We apply AI development solutions to support data-driven decisions across departments and integrate with tools like Power BI, Tableau, and Looker.
We also build custom dashboards backed by machine learning. Our solutions are built to scale, making advanced analytics accessible without requiring a global enterprise footprint.
AI-Powered Inventory and Supply Chain Optimization
Our AI-powered solutions improve forecasting, inventory management, and logistics route planning. By combining predictive models with real-world constraints, we help clients fine-tune stock levels and optimize fulfillment.
Our engineers ensure integration with ERP and inventory platforms such as SAP, NetSuite, and Oracle, aligning with your processes and infrastructure to minimize risk and maximize value.
Choose a service to read details. Each advances automatically.
Our AI development team
Backed by 4000+ devs
Why tech leaders choose our AI development teams:
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.
Our 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
Why work with EdgeConsulx? We're trusted by the world's top tech teams.
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
Here's what makes us easy to work with and hard to replace:
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.
Dozens of AI agent development projects delivered.
We've delivered AI agent development across industries—from legal summarization agents to HubSpot workflow automations and IDE copilots. Our clients trust us to ship agentic systems that are reliable, observable, and ready for production.
LEGAL
Developed AI Tool to Summarize 10,000 Legal Transcripts Daily
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. It automatically segments text and feeds it into an NLP engine, significantly accelerating turnaround time.
OpenAI
Azure
C#
.NET
SQL
React Native
AUDIO AND VIDEO MEDIA
Automated GenAI Video Integration for HubSpot Campaigns
Our client uses AI-driven video technology to create personalized, localized videos at scale. They needed to connect their platform to HubSpot to automate video delivery in email campaigns. We developed a custom solution using Workflow Extensions and CRM Cards, enabling asynchronous video generation linked to individual contacts. A webhook system stores each video URL in a HubSpot field, streamlining distribution and eliminating manual steps.
Generative AI
AI-Driven Video
TECHNOLOGY
Built an IDE That Simplifies AI Pipeline Prototyping
This client is creating a development environment for building and testing AI pipelines with LLMs. We provided full-stack engineering support to improve performance, scale, and user experience. Our team worked on intuitive front-end components and scalable back-end services designed to handle experimentation and monitoring, simplifying LLM pipeline prototyping and speeding up iteration cycles.
LLMs
Node.js
React
MANUFACTURING
Improved Robotic Arm Automation and Object Segmentation with AI
Our client builds humanoid robots powered by AI for navigation, manipulation, and voice interaction. They needed to advance robotic arm automation and improve how systems interpret and replicate human actions. We developed ROS2 simulations for precision control, integrated CAN bus protocols, and improved video-based segmentation to support pose detection and tool tracking.
AI
Computer Vision
NLP
ML
SOFTWARE DEVELOPMENT
Reduced GCP Costs by 80% with Smarter AI Processing
This logistics company uses AI/ML to streamline catalog classification and manage cloud spending. We built a hierarchical classification model using Amazon labels and Gemini, cutting costs from $30,000 to $300 per million classifications and reducing latency from 40 seconds to 1.5 seconds. We improved tax classification accuracy to 95% with RAGFusion and semantic chunking, migrated models to GCP, and automated MLOps workflows.
GenAI
LLMs
RAG
OpenAI
SOFTWARE DEVELOPMENT
Enabled AI-Powered Water Pipeline Maintenance with Predictive Diagnostics and Automation
This client uses AI to automate HVAC diagnostics and water infrastructure monitoring. We developed cloud infrastructure to support predictive diagnostics and real-time monitoring, built scalable REST APIs to connect with AI-powered inspection robotics, and optimized PostgreSQL queries to improve defect detection accuracy. The result was a 90% reduction in manual review.
Every developer we provide uses modern AI coding tools to ship faster than ever while producing cleaner, more consistent code.
TOOLS FOR AI AGENT DEVELOPMENT
Tools and technologies used in our AI agent development projects:
We combine industry-standard frameworks with modern tooling and proven internal processes to accelerate agent delivery and maintain production-grade systems over time. Our engineers bring deep familiarity with LLM orchestration, vector stores, evals, and secure deployment.
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.
PyTorchTensorFlowKeras
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.
Scikit-LearnXGBoostLightGBM
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.
PandasNumPyDask
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.
Jupyter NotebooksVisual Studio CodePyCharm
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.
GitHub CopilotTabnineKite
We serve models at scale using frameworks designed for high availability, low latency, and compatibility across inference runtimes with structured deployment playbooks.
TensorFlow ServingTorchServeONNX Runtime
We implement monitoring and lifecycle workflows to track performance drift, retrain triggers, and version histories with dashboards, alerts, and audit trails.
MLflowWeights & BiasesNeptune.ai
Curious how we'd approach your AI agent development project?
Speak with a client engagement specialist near you.
Discuss solutions and decide team structure.
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.
Onboard your team and get to work.
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 track performance on an ongoing basis.
We continually monitor our teams' work to make sure they're meeting your quantity and quality of work standards at all times.
How we deliver AI solutions that drive business value:
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.
1
Discovery & Use Case Definition
We align with stakeholders on business outcomes, success metrics, data availability, and integration constraints before selecting models or platforms.
2
Data Assessment & Pipeline Design
Our engineers audit data quality, design ingestion pipelines, and establish labeling, versioning, and access controls for training and inference.
3
Model Architecture Selection
We evaluate LLMs, classical ML, and hybrid approaches against latency, cost, accuracy, and compliance requirements for your production environment.
4
Feature Engineering & Training
Teams build reproducible training workflows with clear modeling standards, experiment tracking, and hyperparameter tuning aligned to your KPIs.
5
Validation & Safety Testing
We run offline evaluation, red-teaming for generative outputs, bias checks, and edge-case testing before any model touches production traffic.
6
MLOps & CI/CD Setup
Internally developed pipelines support model packaging, automated retraining triggers, rollback, and observability integrated with your DevOps stack.
7
System Integration
APIs, event streams, and microservices connect AI capabilities to CRMs, ERPs, mobile apps, and legacy systems without disrupting existing workflows.
8
Security & Compliance Review
Role-based access, encrypted pipelines, and governance aligned with HIPAA, SOC 2, and ISO 27001 are validated before go-live.
9
Deployment & A/B Testing
Models ship via containerized serving with version control, shadow deployments, and A/B tests to validate performance under real load.
10
Monitoring & Observability
Dashboards track drift, latency, cost, and quality signals with alerts and audit trails so teams can intervene before users are impacted.
11
Production Launch
We coordinate staged rollouts, runbooks, and handoffs so content, operations, and engineering teams can operate the system confidently.
12
Ongoing Optimization & Retraining
Post-launch, we tune models as data shifts, expand features, and refine automation based on production metrics and business feedback.
What tech leaders ask about AI agents before pulling us in:
We've delivered AI solutions at scale for clients in finance, healthcare, logistics, and technology. Our teams include senior AI engineers with deep experience in machine learning, data engineering, and MLOps. Our projects follow proven delivery playbooks designed for reliability, traceability, and long-term maintainability. With over a decade of experience building enterprise software, we bring the maturity, talent, and execution rigor that high-stakes AI development requires.
You'll only work with senior, full-time engineers—no juniors, no contractors. Our AI developers have 8+ years of experience and are rigorously vetted, ensuring your AI team is staffed with experts trusted to design, build, and scale mission-critical solutions.
Yes. When you choose staff augmentation or dedicated teams, our AI engineers embed directly into your team. They follow your processes and use your tools. Whether you're using Jira, Azure Boards, or another platform, we integrate seamlessly. For fully managed projects, we handle delivery end-to-end while keeping you aligned on milestones, timelines, and outcomes.
Yes. Our AI solutions are designed for seamless integration with your infrastructure. We've successfully delivered AI-powered features for legacy systems, microservices, mobile apps, and enterprise-grade data platforms. Integration is built into our process from day one.
We implement role-based access control, encrypted pipelines, and secure deployment practices aligned with HIPAA, SOC 2, and ISO 27001 standards. Our teams are trained in secure coding for AI workflows and follow internal compliance protocols for every AI development project. We also support human-in-the-loop models and auditability where required.
We design AI systems around your specific goals, data, and workflows. For example, we can build a predictive model trained on your proprietary data, deploy a fine-tuned LLM to handle domain-specific queries, or develop an agentic AI system that automates multi-step processes unique to your business. Every solution is engineered to integrate with your existing platforms, such as CRMs, ERPs, and mobile apps.
Our deployment process includes containerization, version control, A/B testing, and performance monitoring. We use tools like MLflow, TensorFlow Serving, or TorchServe depending on your stack. We also ensure models are deployed via CI/CD pipelines that match your DevOps strategy. All deployments include rollback mechanisms, observability, and documentation for future scaling.
Yes. We've helped clients integrate generative AI into real products, including marketing content generation, virtual assistants, and semantic search. We use leading models and platforms, such as OpenAI, Azure AI, and Hugging Face, and implement prompt management, safety layers, and content controls to ensure brand-aligned, compliant outputs.
Yes. We build AI-enabled mobile applications and embed models into existing apps using edge inference, server-side APIs, or hybrid strategies. Our teams ensure seamless integration with your mobile architecture and performance requirements.
We typically spin up AI development teams in 2-4 weeks. Ramp-up time depends on the complexity of your stack, codebase, and documentation, but our senior engineers are used to onboarding quickly and delivering value fast. Many of our clients tell us we ramp faster than internal hires or other vendors due to our structure, experience, and technical fit.
