Careers

Applied AI partner.

Separate the signal
from the noise

Our forward deployed teams combine AI capabilities with product and software engineering to deliver outcomes that survive real users, real data, and real constraints. Stack and model agnostic: we fit the solution to you, not you to a product.

20m
User research synthesisA week of user interviews and usability research synthesized in minutes.
70X
Faster root cause analysisThree days to twenty minutes for root cause analysis at ASI, using model as runtime.
79%
Reduction of time to marketRakuten reports decrease from 24 days to 5 days for new feature launches, model assisted.
1/4
Adoption rateOnly a quarter of enterprises succeed scaling a pilot to production.
A Caterpillar haul truck fitted with autonomy sensor masts on a foggy mine haul road, engineers on the access deck

Heavy industry & autonomy

AI-powered software for field-deployed heavy autonomous vehiclesRead the case study

Trusted by teams that ship

A partner for the full lifecycle

Forward deployed where the work is hard, and nobody else shows up.

Stack-agnostic AI experts across the full lifecycle - advise, build, deploy, optimize - for the high-stakes problems most teams won’t touch.

  1. 01

    Advise

    Cut through the noise to pinpoint where AI actually pays off - and the fastest path to get there.

  2. 02

    Build

    Forward-deployed teams build production-grade agentic systems - not demos, not decks.

  3. 03

    Deploy

    Ship into live systems, real data and real constraints, with the guardrails to run safely.

  4. 04

    Optimize

    Monitor, evaluate and tune for cost, performance and reliability as you scale.

AI adoption, simplified

It is never a
technology problem.

New models arrive every week. What makes AI stick is the work around it: finding the use case, aligning the people, and measuring results against goals the business already has. That’s where most initiatives quietly die. It’s also why our teams are nimble, senior and opinionated - experienced enough to cut through the noise, and accountable for delivery from first conversation to production.

  1. Identify use case & prioritize

    We facilitate discovery and identify opportunities for model deployment.

  2. Establish business case

    We build alignment, match customer success with business outcomes.

  3. Validate pilot

    Agent-assisted teams stand up a pilot, provide data-backed evidence to support business case.

  4. Deploy

    Hardened, scalable, model-enabled software is shipped to production.

  5. Iterate

    Evergreen product practices are observed to measure, refine, and iterate.

  6. More about our process

What we bring

Orchestration

One agent or many - decomposition, handoffs and coordination.

Model routing

Optimize across cost, performance and capability.

Observability

Trace, monitor and catch failures in production.

Business process

Turn real-world workflows into agentic systems.

Evals

Build confidence, enable model mobility and protect against cost.

Agent safety

Guardrails, security and the practical considerations.

Human-in-the-loop

Escalation, approvals, and the supervised seam.

Insights

Signal from the field

View all →
Case study

Three days to twenty minutes

Field-deployed autonomous vehicles, downtime that costs millions an hour. Root-cause investigations from 3 days to 20 minutes - shipped in three weeks.

May 19, 2026Read case study →
Insight

The Best AI Use Case Might Be the Most Boring One in the Room

The AI use case that sounds most impressive is rarely the one worth funding. Here's how to spot the boring option that actually pays for itself, and why most teams miss it.

Adam Rusciolelli · Aug 27, 2026Read →Insight

Why Lithuania: What a Handwritten Memoir Taught Me About Bridges

A handwritten letter from a Lithuanian immigrant led me to the exact street corner he described - and, years later, back to Lithuania for work.

Laura Graves · Aug 6, 2026Read →

Customer feedback

In their words

We operate in a very niche industry, and this isn’t the easiest thing to pick up, but Gritmind has done a great job connecting with all of the different stakeholders in the business to dig into the details, summarize the current state, and make recommendations for the future of this product.
Portrait of Greg HeineGreg HeineEVP Maintenance Software, JSSI
Gritmind has been an incredible partner throughout our collaboration. Gritmind’s team truly feels like an extension of our own, working side by side to design and implement solutions that best serve our users.
Portrait of Karen SealeKaren SealeSenior Project Manager, SCP Health
Gritmind was able to stand up a senior team before we finished planning our roadmap. Outstanding people, spotless technical expertise, and a methodology that improves our own workflows.
Portrait of Bill CroninBill CroninCEO, Bison Commerce
We fed the app an incident report our team had never seen before - no pre-training on incident type - and it found a wiring problem on our CAN bus that we’d have needed a seasoned engineer to track down manually. Gritmind built something that knows the right questions to ask with a model as a runtime. That’s a game changer for root cause analysis at ASI.
Portrait of Rod LewisRod LewisDevelopment Manager, Autonomous Solutions at ASI