AI built by people who run one in production every day.

The intake-to-output loop your staff does by hand, running unattended.

A person downloads a file, retypes it into a system, routes it for approval and emails the result. It takes days, and it is where the errors come from.

Proof. Fifteen file formats handled in production, including the ones nobody supports: bilingual CAT files, RTF, IDML and scanned PDFs.

We build

• Ingest from email, SFTP, a portal or an API, whatever you already use
• Classification and routing rules that mirror your actual approval chain
• Structured extraction into your case system, ERP or database
• Human-in-the-loop checkpoints only where a human genuinely adds value

For businesses and agencies

Paper archives and scanned PDFs turned into structured, searchable, translatable data.

Decades of case files, records and contracts exist only as images. Search does not reach them, reporting cannot count them, and nobody can afford to retype them.

Proof. Page geometry is preserved from the source rectangle rather than guessed from pixels, which is why a translated scan still looks like the original.

We build

• Dual-backend OCR with automatic fallback when one engine degrades
• Layout reconstruction that keeps tables, images and physical page size
• Field extraction against your schema, with confidence scores
• Output as searchable PDF, Word, or rows in your system of record

For businesses and agencies

Language capability embedded inside your product, portal or workflow.

Off-the-shelf machine translation gets you to roughly understandable. For a legal notice, a benefits letter or a safety procedure, roughly is a liability.

Proof. The same pipeline runs every Tango job: the language-pair and QA counters on the home page are its output.

We build

• Translation pipelines with your glossary, memory and style rules enforced
• Language detection and routing for mixed-language inbound content
• Multilingual search, chat and IVR over your own content, with citations
• Automatic quality gates that hold a job back instead of shipping it wrong

For businesses and agencies

Recordings, calls and meetings turned into accurate, attributed, multilingual text.

Audio is the least searchable asset an organization owns, and generic transcription collapses the moment there are two speakers, an accent or a second language.

Proof. Multi-speaker, code-switched Spanish-English material is our daily input, not an edge case.

We build

• Transcription with speaker diarization and time codes
• Direct speech-to-target-language translation, not a lossy two-hop
• Subtitle generation with reading-speed constraints built in
• Redaction of names and identifiers before anything is stored

For businesses and agencies

A finished video in another language, without booking a studio.

Human voice-over is priced per language and per session. For training, product and internal video in six languages, the budget runs out before the content does.

Proof. Our own voice-processing system works with several generation engines per language; a human QA pass checks pronunciation and segmentation before delivery.

We build

• Script translation with timing constraints, then synthetic voice in the target language
• Voice selection per language and gender, with linguist sign-off on pronunciation and segmentation
• Lip-sync-aware timing for on-camera speakers where the platform allows
• Final assembly: mixed audio, burned-in or sidecar subtitles, platform-ready files

For businesses and agencies

The part every AI vendor skips: proving the output is good, continuously.

Most AI projects ship without a way to answer whether they are working. Six months later nobody can tell if a model change helped or quietly broke something.

Proof. A 12-step automated QA chain runs on every production job we deliver, and its pass rate is published on this site rather than asserted.

We build

• Golden datasets built from your real, hard cases, not synthetic samples
• Automated scoring on a defined error typology with severity weighting
• Regression gates so a model or prompt change cannot ship blind
• Dashboards that give reviewers and executives the same number

For businesses and agencies

For data that cannot leave your building, your cloud or the country.

Patient records, privileged material and student data often cannot be sent to a public model API, which is where most AI pilots die in legal review.

Proof. The group runs its own infrastructure rather than reselling somebody else's, so residency is a deployment choice and not a support ticket.

We build

• Open-weight models deployed in your VPC or on your hardware
• US-resident processing with a documented data flow
• No client data used for training, contractually
• Air-gapped operation where the environment requires it

For businesses

It only counts if it reaches the systems your staff already have open.

A brilliant tool nobody opens is a failed project. The work has to arrive where the work already happens: the case system, the TMS, the ticket queue.

Proof. A public API and a webhook dispatcher run in production today, keyed and rate-limited per client; agencies already push jobs through them.

We build

• REST APIs with per-key rate limiting and audit trails
• Webhooks for job lifecycle events into your queue or workflow tool
• Connectors for TMS, CMS, DMS, case management and ticketing systems
• SSO and role-based access mapped to your org chart

For businesses and agencies