Solar
We’ve built apps and systems designed to make installers’ lives better, connecting different data points and helping them keep all their projects and budgets safe in an affordable and easy to use app.
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Custom AI Agents That Cut the Busywork Your Team Can’t Keep Up With
Stop burning engineering time on fragile prototypes. We build secure AI apps and agents that plug into your existing software – model-agnostic, fixed-scope 4-week pilots on your real data.
What We Build
We integrate intelligent automation directly into your core business processes to eliminate manual bottlenecks. By bridging your existing platforms with custom AI, we turn fragmented workflows into a unified, high-performance engine.
AI agents that handle multi-step work.
Not a chatbot that answers questions, a system that takes an action: reading a job note, checking a price book, drafting a quote, updating a record, flagging what needs a human. We design these around the actual decision points in your workflow, not a generic assistant bolted onto your homepage.
Automation for scheduling, dispatch, and routing.
This is where AI is delivering the fastest, most measurable returns for operations-heavy businesses right now: matching the right technician to the right job, rebalancing schedules when someone calls out, clustering stops to cut drive time, and catching the calls that would otherwise go to voicemail.
LLM integration and data cleanup.
Most AI projects fail before they reach the AI part, because the underlying data is inconsistent, duplicated, or scattered across systems that don’t talk to each other. We work with OpenAI, Azure AI, Anthropic, and Mistral, and we treat data cleanup and structuring as part of the build, not a separate line item you discover you need six weeks in.
Custom AI applications
Full builds, web, mobile, or enterprise platforms, with AI capability designed in from the architecture stage rather than layered on afterward.
What Agentic AI Actually Means
The term gets used loosely enough that even leadership teams inside the same company often mean different things by it. Here’s the distinction that matters: traditional automation follows a fixed set of rules and breaks the moment something falls outside them. Agentic AI reasons through a task, using an LLM to interpret context, decide what step comes next, and adjust when conditions change, then hands off to a human when it hits a decision it shouldn’t make alone.
What Does Agentic AI Actually Get You
Agentic AI is already powering a wide range of solutions, including AI-powered customer support agents, LLM-driven internal assistants, and AI-based workflow orchestration. It helps companies unlock new levels of productivity, performance, and innovation.
How We Handle Your Data and Why That Matters
This is usually the first question we get, so we’re putting it near the top instead of the bottom. Every AI system we build runs under the same security and compliance standards as the rest of your production infrastructure: your data isn’t used to train external models, access is scoped and logged, and we validate compliance requirements (HIPAA, SOC 2, industry-specific regulation) during the architecture phase, before a single line of the pilot gets built. If a use case doesn’t hold up under your compliance requirements, we say so during the four-week pilot, not after a six-month build.
Built and validated on your data, not a demo dataset.
Every system is designed against your actual workflows and your actual data, with compliance validated up front.
Fixed-scope pilots, not open-ended engagements.
Four weeks to a working pilot on real data. You see it work, or you find out fast that it needs a different approach, before either of us has sunk months into it.
Works with the model providers that fit your use case.
OpenAI, Azure AI, Anthropic, Mistral, open-source, we choose based on what the task needs, not what we’re most invested in selling.
Built to integrate, not replace.
These systems connect into the CRM, field service platform, or internal tools you already run. Nobody wants to migrate off a system that works just to add AI to it.
Outperform From Vision to Execution with AI Automation
Discovery & Design
Every successful AI initiative starts with the right questions. In the early stages, we lead discovery sessions and technical deep-dives to fully understand your use case, organizational context, and data readiness. We map out workflows, identify automation opportunities, and shape a high-impact solution aligned with your goals. Our approach blends business analysis with technical foresight to ensure we’re building the right solution from day one.
Architecture & Validation
Choosing the right AI approach is critical. We design the architecture for your AI system — from selecting the appropriate models and infrastructure to ensuring compliance, data governance, and long-term maintainability. Whether it’s LLMs, agentic workflows, or domain-specific models, we validate the strategy against performance benchmarks and business outcomes before any code is written.
Prototype & Build
We turn strategy into working solutions. Our team rapidly builds functional AI prototypes and proof-of-concept applications tailored to your real-world use cases. These prototypes are not just technical demos — they are the starting point for stakeholder alignment, iterative development, and early business validation. We ensure each step delivers value and accelerates your path to deployment.
Test & Deploy
From rigorous model testing to software integration and deployment orchestration, we prepare your AI systems for live environments. We handle everything from pipeline automation and user acceptance testing to environment setup and fine-tuning. Whether deployed in the cloud, on-prem, or at the edge, your AI solution is fully integrated, secure, and optimized for your infrastructure.
What our clients think of us
+442
New Sales Reps Onboarded
+1,600
Appointments Scheduled
TechQuarter is a highly skilled software delivery service provider. Their developers have a wealth of experience and knowledge building front-end solutions that are both scalable and secure. Their communication is first class, and flexibility to resolve issues and support production releases out of standard business hours to accommodate our customers is highly respected.
17,000+
Devices in Use
400+
Trusted by Mobility Partners
Thanks to TechQuarter’s work, the we have seen a significant improvement in system performance and uptime, and a reduction in cloud infrastructure costs and feature development time. The team has been timely, collaborative, and adaptive. Their proactivity and customer-centric approach stands out.
160+
Retailers Supported
35%
Average Conversions Increase
Industries we’ve worked with
Mobility
Portals and apps created to make traveling smoother, payments faster and managing programs and fleets smarter.
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Education
Solutions crafted to make communication more efficient between institutions and the other stakeholders, with relevant integrations and amazing user flows.
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AI Development FAQ
We specialize in AI-powered software development, including intelligent assistants, custom AI agents, LLM integration, and AI-driven workflows. Our solutions range from customer-facing chatbots to internal process automation and predictive analytics tools.
Agentic AI refers to systems powered by Large Language Models (LLMs) that can reason, make decisions, and execute multi-step workflows. Unlike traditional rule-based automation, Agentic AI is dynamic and adaptable, making it ideal for complex or evolving processes.
Yes. We support both. We work with models from OpenAI, Azure AI, Anthropic, Mistral, and other providers, and can also fine-tune open-source models to meet specific data, performance, and privacy needs.
Absolutely. We specialize in seamless AI integration with CRMs, ERPs, cloud environments, internal systems, and third-party apps. We use APIs, orchestration frameworks, and custom connectors to ensure smooth deployment with minimal disruption.
We follow strict data governance practices, including access control, encryption, and compliance with regulations like GDPR and HIPAA (when applicable). Responsible AI is part of every solution we build.
We begin with discovery workshops and use case definition, followed by rapid prototyping. From there, we move into full-scale development, infrastructure setup, and deployment. We also provide ongoing support, monitoring, and model updates post-launch.
Timelines vary by complexity. A simple AI assistant can take 3–6 weeks from prototype to deployment. More complex solutions, such as custom AI agents or integrated enterprise tools, may take several months. We’ll scope and estimate based on your goals.
Yes. Many clients start with a targeted pilot or proof of concept to validate ROI before scaling. We design engagements that fit your risk tolerance, timeline, and budget.
Ready To Build?
Their commitment to delivering solid, reliable solutions is unmatched. They have consistently met or exceeded expectations, and I haven’t encountered any issues that would suggest areas of improvement. That said, as with any partnership, there’s always room for growth and innovation, and I look forward to seeing how they continue to enhance their services in the future.
Cisco Aravena
VP of Technology, Suntria