The work runs itself now.
Flextra builds data platforms and embeds AI inside the tools you already use. Our agents carry whole processes end to end, and a person signs off on the calls that matter.
FIXED SCOPE, IN WRITING LIVE IN WEEKS YOU OWN THE RESULTNO ACCOUNT LAYER
- AWS Bedrock
- Amazon SageMaker
- Google Cloud Vertex AI
- Anthropic Claude
- OpenAI
- Python
- SQL
- Looker Studio
- Google Workspace
- Agentic workflows
- Document intelligence
- Custom models
- Warehousing and ETL
- Always-on pipelines
- Embedded AI features
Delivered work, small operators to Fortune 50
Three engagements, three ways the work runs. Everything here shipped, and the patterns repeat for anyone with the same shape of problem.
- AI Integration · Embedded
Contract review that starts at 90% done
Document intelligence wired into the review workflow of a utility-scale battery energy storage integrator. A dense contract lands, and a structured brief with citations is waiting before anyone opens page one.
REVIEW TIME: HOURS → MINUTESRead the case study - AI Integration · ML
Every customer conversation, read
A sentiment model for a Fortune 50 company, scoring the full population of customer service interactions. Sampled QA and hallway anecdotes gave way to evidence leadership can act on.
CLIENT: FORTUNE 50 (REDACTED)Read the case study - Data Analytics
The reporting function, automated
An always-on data platform for a commercial real estate operator. Source systems in, validated dashboards and reports out, refreshed before anyone logs in. The manual reporting job no longer exists.
3 DASHBOARDS · 5 REPORTS · 0 MANUAL STEPSRead the case study
Three ways in, one standard of finish
One trustworthy view of the whole business
We connect the systems that hold your numbers and land them in one warehouse. Live dashboards go in front of the people who run things, and the math checks out before anyone has to ask.
Data Analytics in detailAI inside the tools you already run
A contract lands and the brief is waiting next to it, cited to its source pages. We build that kind of feature into your product and internal tools, with review steps where a miss would cost you.
AI Integration in detailWhole processes, carried end to end
Our agents read the inbox, match invoices against the purchase orders, and post whatever reconciles. The one that looks wrong goes to a person. Everything on a schedule runs itself overnight.
Process Automation in detailOpinions we will defend on the first call
Every build decision traces back to one of these. If you disagree with one, the intro call is the cheap place to find out.
Accuracy is the product
A summary that cannot cite its source does not ship. We ground every extraction in the document it came from, and where a miss would cost real money, a person reviews before anything moves.
AI goes where the work is
Adoption dies in the extra tab. We build into the deal system, the inbox, the ERP, so the intelligence shows up inside a click your team already makes.
Every agent gets a supervisor
Autonomy for the routine. For the exception, a human sign-off wired into the workflow as a first-class step, with a record of who approved what.
Pipelines before predictions
Clean, boring data infrastructure comes first. A model built on a swamp makes confident guesses about the wrong numbers.
You own everything we build
Code, infrastructure, credentials, documentation, and the training to run it all. When the engagement ends you hold the keys, and nothing gets rented back to you.
Scope lives on paper
Hours and price go on paper with the deliverables before work starts. When something moves mid-build, the document moves first, and you approve the revision.
Four steps, each one on paper
- STEP 1
Intro call
Thirty minutes, free. You describe the problem, we tell you what the fix looks like and whether we should build it.
- STEP 2
Written scope
Deliverables, hours, and price in a statement of work you approve before anything starts.
- STEP 3
Build
Working software at every milestone, reviewed with the people who will use it.
- STEP 4
Handover
Documentation, credentials, and training until your team runs it without us.
Bring us the problem while it is still a mess.
Describe it in plain language. We reply within one business day with a read on what the fix looks like.