Groundtruth Labs
ProductionSystems shipped, not just mocked up.
SpecialtyAI agents, audio, and geospatial systems.
MethodBuilt against measurable ground truth.
EngagementConsulting, delivery, and technical audits.

AI agents · Custom software · Secure data pipelines

Every model needs
a ground truth.

Groundtruth builds and runs the AI agents, custom software, and data pipelines that hold up when they meet the real world — and goes as deep as the work demands.

FIELD 01–03 · What we do

Three capabilities, one standard of proof.

AI Agent Building & Operations

Agents that do the work — designed, built, evaluated, and run in production. We wire autonomous and assistive agents into your real tools and data, then keep them reliable once they’re live.

  • Tool-using & retrieval agents
  • Evaluation & guardrails
  • Deployment & operations

Custom Software & AI Integration

Custom builds and AI woven into the products, sites, and systems you already run — including commercial and marketing-site optimization. Whatever the stack, we make it fit and make it perform.

  • AI integration & automation
  • Commercial & marketing-site optimization
  • Full-stack delivery

Secure Data Pipelines

The plumbing your AI and analytics depend on, built secure and privacy-first. Clean, governed data flowing to the right place — with the controls to prove it.

  • Privacy-first data flows
  • Scoring, routing & orchestration
  • Security & governance

Where we go deep

Two examples of
how far we go.

The work below is illustrative, not the whole story. Audio and mapping are two domains we’ve taken to production — the same discipline applies wherever a noisy, real-world signal has to become a verified, usable answer.

Example · Audio

Turning sound into a verified signal.

Speaker diarization timeline: three speakers over time with an overlap region
  • Real-time diarization & speaker ID
  • Acoustic event detection
  • Low-latency DSP & filtering
  • Transcription & forced alignment
  • Multi-channel & spatial audio
  • Noise suppression & enhancement
  • Streaming inference pipelines
  • Evaluation & ground-truth labeling
Audio pipeline: capture, VAD, diarize, transcribe, align, index
Audio — raw signal to searchable transcript.

Example · Mapping

Turning geography into something you can trust.

  • Geospatial ETL pipelines
  • Sensor fusion & georegistration
  • Vector & raster tile serving
  • Spatial analysis & routing
  • Coordinate systems & datums
  • Real-time telemetry & tracking
  • Imagery & point-cloud processing
  • Interactive cartographic UIs
Sensor fusion: noisy sensor tracks converging on a ground-truth benchmark
Geospatial pipeline: ingest, parse, fuse, tile, serve
Mapping — raw sensors to served map tiles.

Selected work

Systems we’ve taken
to production.

  1. Searchable video, frame by frame

    An ingestion-to-search pipeline that tags every frame and lets users find any moment in plain language — turning raw video archives into a queryable index.

    • Computer vision
    • Frame-level tagging
    • Natural-language search
    • Vector retrieval
    • Streaming ingestion
  2. A support agent that learns the account

    An end-to-end customer support agent that resolves real tickets, adapts to each account, and gets sharper from every conversation it closes.

    • Tool-using agent
    • Personalization
    • Continuous learning
    • Eval & guardrails
    • CRM integration
  3. Pipelines that score and route themselves

    Orchestrated Airflow data pipelines with model-driven scoring and routing, so every record takes the right path automatically — observable and dependable at scale.

    • Apache Airflow
    • Orchestration
    • ML scoring
    • Dynamic routing
    • Observability

The practice

Engineering depth, at the
scale the work demands.

Groundtruth fields senior, multi-disciplinary teams across AI, systems, and signal engineering — embedded alongside the people who own the problem. We ship production systems at scale, not prototypes and not a deck of promises.

The name is a commitment. Every model, map, and system we build is held to a verified reference. If it can’t be checked against reality, it isn’t done.

FIELD 04 — Start here

Choose the fastest path to a useful conversation.

Technical fit review

Send the workflow, data shape, and constraints. We’ll tell you whether we’re a fit and where the risks are.

Capability brief

Get a concise PDF overview of what Groundtruth builds, with focus areas, process, and engagement types.

Project scoping call

Use this if you already know the problem and want help turning it into a build plan, estimate, or roadmap.

FAQ

Questions, answered.

What does Groundtruth do?

Groundtruth builds and runs AI agents, custom software and AI integrations, and secure, privacy-friendly data pipelines. We work as embedded, senior teams and go as deep as a problem demands — and we verify results against reality rather than shipping on faith.

What kinds of AI agents does Groundtruth build?

Autonomous and assistive agents wired into your real tools and data — tool-using and retrieval agents, with evaluation harnesses and guardrails. We don’t stop at a demo: we deploy agents to production and keep them reliable in operation.

Do you work with our existing systems and stack?

Yes. Most of our work integrates AI and custom software into products, sites, and systems that already exist, rather than replacing them. That includes commercial and marketing-site optimization — improving performance, conversion, and how a site is understood by search and AI engines.

How does Groundtruth approach data security and privacy?

Our data pipelines are built secure and privacy-first: clean, governed data flowing to the right place, with access controls and the auditability to prove it. Privacy and security are design constraints from the start, not a review at the end.

Is Groundtruth only for audio and mapping projects?

No. Audio and mapping are two domains we’ve taken to production and use as examples of how deep we can go. The same discipline — turning a noisy, real-world signal into a verified, usable answer — applies across domains, and most engagements are AI, software, and data work outside those two fields.

What does “ground truth” mean, and why the name?

The measured, verified reality a model is judged against. In mapping, it’s the survey on the ground that calibrates what the sensor sees. In machine learning, it’s the correct answer the system is held to. We build toward it on purpose.

How do we get started?

Email contact@groundtruth-labs.com with the problem, the constraints, and the deadline. We’ll tell you honestly whether we’re the right team for it.

Get your bearings

Tell us about the territory.

Send the problem, the constraints, and the deadline. We’ll tell you honestly whether we’re the right team for it.

ground truth /noun/

The measured, verified reality a model is judged against. In mapping, it’s the survey on the ground that calibrates what the sensor sees. In machine learning, it’s the correct answer the system is held to. We build toward it on purpose.