Lofty vs. Loqol: The Lofty Alternative for Brokers Whose Files Stall After the Lead Signs

The problem a CRM subscription can't fix

Most owners who go looking for a Lofty alternative aren't unhappy with Lofty. They're unhappy with what happens after Lofty is done. The lead came in, the AI worked it, the agent converted it, the client signed, and then the file walked over to the one person who assembles disclosures, chases signatures, tracks contingencies and calls the inspector, and sat in that queue behind a dozen other files. The shop is paying for a CRM and still watching every deal wait on one desk.

That is the pain this comparison is built around. Lofty, formerly Chime Technologies (Inman) and based in Phoenix, describes itself on its homepage as "an agentic AI Operating System built for agents, teams, and brokers," organized around AI agents (Cowork, Sales Agent, Homeowner Agent, Social Agent) plus lead generation, CRM, IDX websites, transaction management and mobile apps (lofty.com). Loqol (loqol.ai) is an AI and automation platform built for licensed brokerages. The two aren't competing for the same hour. Lofty's AI is concentrated on the lead: working a database, engaging contacts, drafting outreach, summarizing calls. Charlie AI, the assistant inside Loqol, is concentrated on the transaction once a lead becomes a client: drafting paperwork, assembling disclosures, tracking signatures and deadlines, organizing vendors, crunching comps, working up estimates, and project-managing every file for every seat in the office.

A principal broker running a Lofty alternative search should ask a narrower question than "which platform is better": where does the file stall today, and which platform's AI actually moves it?

What Lofty does well

Lofty is genuinely good at lead engagement, and the industry has said so. The company says it was "recognized as Best AI-Powered Platform in the 2025 Inman AI Awards" (lofty.com/news/inman-ai-award). Its CRM page positions the platform as an "Agentic AI Operating System" whose agentic AI "actively works every lead for you," built around Lead Insights, Site Activities Tracking on a brokerage's IDX website, and Smart Plans, described as "automated, multi-step workflows that nurture every lead across email, text, calls, and direct mail" (lofty.com/real-estate/crm).

The centerpiece of that story is Cowork, Lofty's AI assistant, which the company says "executes operational work end-to-end inside Lofty — orchestrating tasks across the lead lifecycle so your team doesn't have to." Cowork drafts emails, texts and call scripts in an agent's own voice, runs multi-step follow-up sequences, summarizes dialer calls, and reads an uploaded contract to populate a transaction record (lofty.com/ai/assistant). On the transaction side, Lofty offers native e-signature so "documents can be sent, signed, and returned digitally without printing anything," along with automated checklists, milestone notifications and deadline reminders from accepted offer to closing (lofty.com/feature/transaction), and in mid-2026 it launched a client-facing transaction portal with real-time visibility into where a deal stands (HousingWire). Its Homeowner Agent release mines a CRM database for likely sellers; Lofty's vice president of growth, Andrew Wild, called it "a fully autonomous pipeline builder that works their database all day, every day" (Inman).

If a shop's bottleneck is upstream of the contract, meaning leads go cold before anyone follows up, Lofty is a serious answer.

What Loqol does differently: the hire you don't make

The difference between the two platforms shows up on the payroll line before it shows up in a feature list. In a lead-engagement model, the AI's job largely winds down around the time an offer is accepted, and the file then moves the way it always has: agent to admin, admin to vendor, vendor back to broker, each handoff a place the file can wait. When a brokerage grows from six agents to twelve, that queue gets longer in proportion, and the owner's response is almost always to hire another person to carry files. That hire is overhead a franchise absorbs and an independent eats directly.

Charlie AI, inside Loqol (loqol.ai), is built to take that hire off the table. Once a lead becomes a client, Charlie AI turns what has already been gathered about the person and the property into the paperwork, disclosure package, signature requests, deadline timeline and vendor calendar, automatically, so the people in the office review a file that already exists. Charlie AI drafts the purchase and listing paperwork, assembles disclosures, sends documents for signature and tracks their status, puts every deadline and contingency on one live timeline the moment the contract is in, coordinates inspectors, photographers, appraisers, escrow and title on that same calendar, crunches comps and market data into a clean analysis, works up estimates for repair credits and closing dates, and drafts the marketing copy, for agents, brokers, TCs, marketing and admin, in one system.

In overhead terms, that changes three numbers an owner actually watches. Sides per staff hour goes up, because the hour is spent reviewing and deciding rather than assembling and re-keying. Agent hours go back to listings and clients, because the agent who used to spend an evening building a disclosure package now walks into the listing appointment with the comps already crunched. And the next admin hire gets pushed out, because the tenth extra side no longer requires a tenth of a person. That's the argument in what makes a small brokerage grow, not stall, and it's why firms are treating AI as the transaction desk itself, as covered in why small brokerages are hiring AI transaction coordinators.

If you own an independent shop of six to twenty-five agents in Orange County, the Inland Empire, San Diego, Marin or Sonoma, this is math you're already doing on a napkin. CRMLS and BAREIS give a small office the same listing reach as a franchise; what the franchise has that the independent doesn't is a back office that scales without the owner interviewing the next coordinator. A six-agent office in Santa Rosa or Irvine competing with a national brand on the same street needs that back office without the franchise overhead, and that is the seam an AI and automation platform built for licensed brokerages is designed to fill.

Capability comparison: Lofty vs. Loqol

Lofty and Loqol cover different halves of the same deal, and the split is visible stage by stage. The table below compares what each platform covers across the life of a deal, based on Lofty's own site and on what Charlie AI automates inside Loqol.

The pattern is plain. Lofty's AI is deepest on everything before a client signs. The rows after that signature, disclosures, vendor scheduling and the file management that eats an admin's week, are where Loqol's AI automation does the work itself.

Who each one fits: a decision, not a description

An owner can settle this in one honest look at last quarter. Pull up the deals that closed late or closed ugly and ask where each one lost its days. If the answer is "nobody called the lead back until the weekend," the problem is upstream, and Lofty is built for exactly that. If the answer is "the contract was signed Tuesday and the disclosures went out the following Monday because one person was buried," the problem is downstream, and a Lofty alternative built around the transaction is what's missing.

Lofty fits a team with a heavy inbound pipeline, strong closers, and a nurture problem: contacts who go cold between the first inquiry and the first showing. Cowork's sequences and Lead Insights are the right tool for that.

Loqol fits the independent whose leads are warm and whose agents can close, but whose files bottleneck at one desk the day a client signs. Every new client adds a file, every file adds drafting, tracking, scheduling and vendor calls, and the person carrying those files becomes the ceiling on growth. Charlie AI absorbs that load across the whole office: the analysis is in hand before the listing appointment, the disclosure package is assembled when the listing goes live, and the inspection, appraisal and loan deadlines are on the timeline when the contract comes in.

And if both problems are real, which is common in a growing shop, the honest answer is to run both: Lofty keeps working the database, and Loqol picks up the file the moment a lead becomes a client. The same upstream-versus-downstream tradeoff plays out against a pure lead platform in the Follow Up Boss comparison and against a signature-and-storage tool in the dotloop comparison.

The bottom line for an independent owner

Lofty is the pick for a firm whose bottleneck is lead engagement; Loqol is the pick for a firm whose bottleneck is everything after the lead signs. Lofty's own CRM page sums up its ambition as a platform "designed to manage the entire search to settlement process" (lofty.com/real-estate/crm). Loqol (loqol.ai) takes the settlement half of that sentence and hands it to Charlie AI, which drafts, assembles, tracks, schedules, analyzes, estimates and project-manages every file so a brokerage adds sides without adding a desk. For an owner whose margin lives in the gap between how many leads convert and how many files one person can carry, that mechanism is the entire argument.