Question 1

What is ARA for LSPs and who is it for?

Accepted Answer

ARA for LSPs is the ARA unit that designs and builds software and AI systems exclusively for companies in the language industry: LSPs, translation and interpreting agencies, and localization teams inside global companies. It is not a packaged product or a strategy consultancy. It is a building practice: we step into the client's operation, understand how the work gets done today, and build the systems that make it better — with AI where AI adds real value, and with conventional software where it doesn't. The criterion is the same one that governs all of ARA: process first, technology second. Mid-size and large LSPs that need to scale volume without scaling operational cost at the same rate. Translation and interpreting agencies whose operations run on email, spreadsheets, and individual memory. In-house localization teams coordinating vendors, languages, and deadlines across tools that don't talk to each other. Sector companies that want to adopt AI in their operation or their offering without improvising on top of client data.

Question 2

What is happening in the language market?

Accepted Answer

The language industry is under simultaneous price and turnaround compression: neural machine translation and generative models turned part of the work into a commodity, and buyers now expect more volume, faster and cheaper. The result is that margin no longer lives in producing the translated word — it lives in everything around it: managing projects, coordinating linguists, assuring quality, answering the client, and keeping the operation running without friction. The companies winning in this market are the ones with the best operation, not the best dictionary. At the same time, AI opened a second opportunity on the supply side: tasks that were always manual inside an LSP — request triage, linguist kit preparation, quality control, quoting, reporting — can now be executed by agents under human supervision, at a fraction of the cost and time. Most LSPs have not capitalized on this yet: they still operate like ten years ago, but at today's prices. The two fronts of the market. Front, What is changing. Demand: Buyers expecting immediate response, falling per-word rates, and full traceability for every project. Supply: Agents and applied AI in operations: coordination costs stop being fixed and become a competitive advantage. Differentiation: Shifts from the linguistic service itself to operational quality: speed, consistency, visibility, and reliability

Question 3

Where is the opportunity for an LSP?

Accepted Answer

The opportunity is in the operations layer, not the translation layer: the processes that coordinate people, vendors, files, and clients are the ones consuming the margin — and they are exactly the processes that automate best. In a typical LSP, every project moves through intake, analysis, quoting, assignment, tracking, QA, delivery, and invoicing. Between each step there is a person copying data from one system to another, chasing confirmations over email, and assembling reports by hand. That coordination layer is where most operational cost lives, and it is describable, repetitive, measurable work — the exact profile of what an agent does well. Automatic triage and quoting of incoming requests, with business rules and escalation to a human when the case requires it. Project coordination: linguist assignment, deadline tracking, and proactive client notification when something drifts. Assisted QA: automatic consistency, terminology, and formatting checks before work reaches the human reviewer. Vendor management: availability, performance, and communication with the linguist network without parallel spreadsheets. Operational and financial reporting: one version of the numbers per project, client, and language, with no manual assembly. New offerings for the LSP's clients: order portals, real-time visibility, and services that were not economically viable before. The barrier is not technical — it is domain understanding. LSP workflows have specifics no generic template knows about — translation memory handling, language pair combinations, rush fees, per-client confidentiality requirements — and a system that ignores those specifics dies in its first week of use.

Question 4

What does ARA build for language companies?

Accepted Answer

ARA builds AI agents, custom software, and business intelligence systems specific to language industry operations, integrated with the tools the client already uses. Operational agents that read requests from email or a portal, classify them, draft the quote, and leave the project created in the client's TMS or management system. Coordination agents that track in-flight projects, detect delay risk, and notify the project manager and the client before a deadline breaks. Custom client portals: orders, tracking, and delivery in one place, under the LSP's brand. Integrations between TMS, CRM, invoicing, and internal tools, so every piece of data is written exactly once. Margin dashboards per project, client, and language pair, with alerts when an account or service line deteriorates. GEO positioning for LSPs: getting generative models to cite the company when a buyer asks about language service providers. We work on whatever infrastructure and systems the client chooses, with models from Anthropic, OpenAI, and Google selected per task, and with the same rule as always: no client's data is ever used for another, and every action with economic or contractual impact keeps a human in the loop.

Question 5

Why does ARA understand this industry?

Accepted Answer

Because ARA was born inside an LSP: its founder, Nicolás Calleri, led operations at a large U.S. language service provider and lived the problems ARA for LSPs solves for years. That experience is the practical difference: there is no need to explain to us what a fuzzy match is, how an interpreting project gets quoted, or why bad vendor management breaks an operation. Diagnosis starts from domain knowledge, not from zero, and that turns into concrete proposals in the first week instead of months of discovery. The rest of the team brings the other half: systems and data architecture, plus operations and delivery, with the same working method ARA applies across every industry — understand the real process, design with the people who will use it, build in short cycles with weekly demos, and leave the system running and measured.

Question 6

How does a project with ARA for LSPs start?

Accepted Answer

Every project starts with a one-to-two-week diagnostic inside the client's operation, which ends with the problem defined, prioritized, and scoped measurably. From there, a first version in production usually lands between six and twelve weeks, depending on integration complexity. We work with weekly demos, in Spanish or English, with teams across Latin America and the United States, remotely and with in-person time during discovery and handoff. The first step is a conversation: tell us which process in your operation is eating the most margin today, and we will reply within 48 business hours with a concrete read on whether automating it makes sense and how.

Month	Revenue	Cost	Gross Profit	Margin
Jul	$575,980	$327,109	$248,871	43.2%
Aug	$559,850	$321,942	$237,908	42.5%
Sep	$548,935	$315,594	$233,341	42.5%
Oct	$547,050	$310,471	$236,579	43.2%
Nov	$555,595	$308,735	$246,860	44.4%
Dec	$573,170	$311,720	$261,450	45.6%

Service Line	Revenue	Fulfillment	Gross Profit	Margin
OPI	$1,293,578	98.4%	$480,952	37.2%
VRI	$390,459	96.1%	$156,902	40.2%
On-Site	$938,956	94.7%	$302,129	32.2%
Translation	$737,587	N/A	$525,026	71.2%

#	Name	Cases	Revenue	Margin
1	Regional Healthcare Provider	11,161	$459,500	43.7%
2	National Insurance Carrier	2,463	$232,500	55.5%
3	County Government Agency	5,063	$230,000	34.3%
4	Medical Device Manufacturer	206	$194,000	72.7%
5	Metropolitan School District	1,085	$185,000	33.0%
6	Corporate Legal Firm	394	$181,500	55.9%
7	Managed Care Organization	7,220	$174,500	38.1%
8	Outpatient Clinic Group	3,155	$70,500	37.6%

#	Name	Volume	Revenue	Margin
1	Spanish	18,849	$988,000	45.3%
2	ASL	1,611	$170,000	34.7%
3	French (Canada)	114	$107,000	72.0%
4	Mandarin	3,795	$94,500	38.1%
5	Portuguese (Brazil)	89	$84,000	72.0%
6	Arabic	2,480	$62,000	37.1%
7	Chinese (Mandarin)	64	$60,500	71.9%
8	Vietnamese	2,505	$56,000	36.6%

AI systems and agents for the language industry.

Price pressure is real.
Running blind is what makes it fatal.

Disconnected Systems

Manual Reporting

Multiple Truths

Late Visibility

We connect every platform you run.
Then we eliminate the manual reporting.

Connect

Automate

Unify

Your Virtual COO.
Always on. Trained on your data.

Virtual COO

One system for operations and finance.
Built for the way LSPs actually work.

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Top Languages

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delivered inside a US-based LSP.

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