Tech.us helps your estimators spend more time on the bids worth winning by taking repetitive work off their plate.
TRUSTED BY INDUSTRY LEADERS
Selected work
Explore selected projects where Tech.us has developed practical technology around complex operational and project requirements.
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A precast concrete manufacturer partnered with Tech.us to bring AI into the estimating workflow. The system uses OCR, computer vision, and generative AI to identify, extract, and visualize structures, pipes, and components from complex construction drawings.
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SkyHawk by TELUS needed a streamlined mobile experience for its Connect Anywhere platform. Tech.us built the core experience around real-time asset tracking, fleet activity, secure configuration, and map-based operational visibility.
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Tech.us helped bring Wealth Mastery to life as a digital platform that puts personalized financial planning tools directly in users' hands while supporting a large and growing audience.
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WHY TECH.US
The value of AI in estimating depends on whether people trust the inputs, understand the outputs, and can keep control of the final decision. Our approach is built around those requirements.
Our construction work includes estimating, bidding, and document-driven workflows. That context matters when the software has to fit into how a preconstruction team already works.
The solution is built around the people using it under real bid deadlines. Review, adjustment, and approval stay part of the estimating process rather than being replaced by automation.
Where historical information is required, models use your own project and cost history so the output reflects the work your business has actually performed.
Pricing history, margins, and bid strategy are sensitive business information. We use access controls and isolated environments to keep that information within your own solution.
Models can be evaluated against previous bids and completed projects before your team relies on them in active estimating work.
AI can prepare the takeoff, comparison, estimate, or draft. The person responsible for the bid still reviews and approves what leaves the business.
PRECONSTRUCTION SOLUTIONS
From drawing review to final proposal, we build focused AI solutions around the preconstruction tasks that consume the most time and require the most careful review.
Extract quantities, scope information, and relevant project details directly from drawings and plans, giving estimators a faster starting point for pricing and review.
Use historical project data, cost information, and relevant market signals to support conceptual estimates and improve material and labor cost inputs.
Support bid and no-bid decisions while normalizing subcontractor proposals, identifying exclusions, and flagging unusual values for estimator review.
Analyze specifications, addenda, submittals, and other project information to surface scope gaps, requirements, changes, and potential cost risks earlier.
Use project information and historical context to support early schedules and sequencing while keeping planners responsible for the final timeline.
Generate first drafts of proposals and bid narratives from your templates, project information, and previous submissions, ready for your team to review and refine.
TECH STACK
The technology behind a preconstruction AI solution depends on the data, documents, estimating workflow, security requirements, and systems it needs to work with.
We select the stack around accuracy, integration, and how the solution will be used inside your existing environment.
Agentic AI & Orchestration
Agentic AI
AI Agents
Multi-Agent Systems
Agentic Workflow Automation
Model Context Protocol (MCP)
Agent-to-Agent Protocol (A2A)
Agent Memory and Reasoning
Generative AI & Foundation Models
Large Language Models
GPT
Claude
Gemini
Llama
Generative AI
Multimodal Foundation Models
Diffusion Models
Small Language Models
Model Fine-Tuning
Prompt & Context Engineering
Machine Learning & Deep Learning
Machine Learning
Deep Learning
Predictive Analytics
Recommendation Systems
Anomaly Detection
Time-Series Analysis
Data & AI Platforms
AI-Ready Data Platforms
Data Lakes and Lakehouse
Data Engineering
AI Frameworks & Libraries
PyTorch
TensorFlow
Scikit-learn
Hugging Face Transformers
LangChain
LangGraph
MLOps, LLMOps & AgentOps
MLOps
LLMOps
AgentOps
Model Deployment and Serving
Agent Deployment
Model and Agent Observability
Prompt and Response Tracing
AI Cost Optimization
AI Evaluation, Safety & Governance
LLM Evaluations
Agent Evaluations
RAG Evaluations
AI Guardrails
Prompt-Injection Protection
Red Teaming
Responsible AI
AI Governance
Cloud AI Technologies
Google Cloud
Vertex AI
Gemini Models
Agent Studio
Vertex AI Agent Builder
Agent Development Kit
Vertex AI Vector Search
Google Cloud Document AI
Google Cloud Vision AI
Microsoft Azure
Microsoft Foundry
Microsoft Copilot Studio
Microsoft Agent Framework
Azure AI Document Intelligence
Azure AI Speech and Vision
Microsoft Fabric
Microsoft Purview
Language, Vision, Speech & Document AI
NLP, NLU and NLG
STT, TTS and ASR
Conversational AI
Document Intelligence
Computer Vision
RAG, Search & Knowledge Systems
Enterprise RAG
Agentic RAG
Multimodal RAG
Enterprise Search
Semantic & Hybrid Search
Vector Databases
Knowledge Graphs
Reranking and Retrieval Optimization
RECOGNITION
Explore the awards and industry recognition associated with Tech.us.
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