1. Should you try Lilt? Overview

What it is	Lilt is an enterprise AI translation platform combining contextual MT, human-in-the-loop review and 60+ domain-specific models, with connectors into 100+ business systems.
Country / HQ	Emeryville, California, USA (founded 2015 by Spence Green and John DeNero, ex-Google Translate)
Best for	Enterprises and government (including US DoD) that need secure, high-throughput translation embedded in existing workflows.
Check before buying	Enterprise custom pricing only (~$164M raised through 2025); no self-serve tier; BYO-model options for regulated environments.
Editor rating	4.3 / 5
Pricing signal	Custom enterprise pricing

2. Features What it does

Feature	What it does
Contextual MT	Domain-adapted neural MT that learns from translator corrections in real time.
60+ domain models	Pre-trained models for tech, life sciences, finance and government.
Human-in-the-loop	Translator copilot with instant learning from edits.
AI Review agents	Automated quality review and annotation.
100+ connectors	Salesforce, Figma, Zendesk, Contentful, Slack and more.
BYO models	Bring-your-own-model hub for custom/regulated deployments.
AI dubbing	Video translation, captioning and dubbing (2024 launch).

Plan	Price / mo	Key limits & who it fits
Enterprise	Custom	Volume-based contracts; requires sales engagement.
Government/Public sector	Custom	Secure deployments; US DoD CDAO contract noted.
Pilots	Custom	Scoped evaluations for enterprise content.

No published rate card; total funding reached ~$164M by late 2025 (Series D ~$45M). Clients report 40-60% cost reductions; verify scope with sales.

Access type	Details
CMS/Support	Salesforce, Zendesk, Contentful, Figma, Slack.
API	Translation APIs and webhooks.
Security	Secure/regulated deployments for defense and enterprise.
CAT	Web-based translator editor with real-time adaptive MT.

Source	Rating	What it says
Enterprise customers	Positive	Intel, Canva, Lenovo, UiPath cited; Lenovo reported ~50% cost savings.
Government	Positive	Multi-million dollar US DoD CDAO contract for defense translation.
G2	4.4 / 5	Translators like the adaptive MT; enterprise pricing opacity noted.

✔ Suitable	✘ Not suitable
• Large enterprises with continuous multilingual content • Government and defense translation programs • Teams seeking MT quality gains from adaptive learning	• Small businesses needing self-serve plans • One-off document translation • Budget buyers without sales-cycle tolerance

Competitor	How it differs	Best for
Smartcat	Smartcat adds marketplace and consumption pricing; Lilt is deeper enterprise/government.	Marketplace-driven teams.
Phrase	Phrase is a broader TMS; Lilt focuses on adaptive MT quality.	Full TMS workflows.
DeepL	DeepL is self-serve MT without enterprise workflow layer.	Quick API translation.

Takeaway	Serious enterprise translation infrastructure with proven adaptive-MT gains – accessible only through enterprise sales, and priced accordingly.
Who should pick it	Large organizations and government programs with ongoing multilingual volume.
Who should skip it	Small teams and self-serve buyers.