AI Clearing vs Avian

AI Clearing connects design and BIM data, schedules, budgets, drone imagery, mobile inputs, and ground surveys into one construction intelligence system for large-scale infrastructure and renewable energy projects. Contractors and asset owners use its CORE platform to see what is actually happening on site instead of relying on scattered spreadsheets and field notes.

A proprietary computer vision engine trained on millions of construction objects compares as-built conditions against design plans. The platform delivers progress and quality reports within 6 to 24 hours of data capture and includes Clara, a conversational assistant that answers project questions from live field data.

Where most construction software tracks tasks in spreadsheets, AI Clearing is built around visual site evidence. It reconciles drone imagery, schedules, and BIM models automatically, which makes it better suited to utility-scale earthworks and renewables than generic project management tools that lack geospatial progress verification.

General contractors, EPC firms, and asset owners working on renewables, transmission, wind, highways, pipelines, railways, and civil earthworks use AI Clearing for progress tracking, quality control, billing verification, and portfolio oversight. Customers include PCL Solar, baywa-re, and Rosendin Renewables.

Avian sells access to open weight frontier models through an OpenAI compatible API, billed by the token. Point an OpenAI SDK client at the https://api.avian.io/v1 base URL and name a model like DeepSeek-V3.2, and the rest of the code stays as it was. Everything runs on NVIDIA B200 GPUs with speculative decoding, and Avian measures 489 tokens per second on DeepSeek V3.2.

The argument against OpenAI here is arithmetic rather than features. A million output tokens on DeepSeek V3.2 costs $0.33, against the $10.00 Avian quotes for GPT-4o, with no rate limits, no monthly minimum, and prepaid credits that never expire. What you give up is model choice, since the catalog is entirely open weight families, DeepSeek, Kimi, GLM, and MiniMax, with no GPT, Claude, or Gemini anywhere.

Developers wiring up coding agents get the clearest win, because Cursor, Claude Code, Cline, Windsurf, and Kilo Code all accept a custom OpenAI base URL. Teams with data handling rules will care that prompts and completions are processed in memory and never written to persistent storage, with only timestamps, model name, and token counts kept for billing.

One claim deserves a closer read. The homepage advertises SOC/2 approved infrastructure while the security page says Avian is still in the process of obtaining SOC 2 Type II, so that badge is work in progress rather than a finished audit.