Technology solutions & products

Technology built to hold weight.

Bedrock Strategic designs and builds software, data systems, AI, automation, and digital products — for the companies we work with, and as products of our own. Bring a business problem. We work out what should be built, then build it.

SoftwareDataAIAutomationProducts

One stack — we work at whichever layer the problem lives in

Work spans Software development Data engineering Applied AI Product information Financial data Business intelligence Automation Growth systems

What we do

One company. Many kinds of build.

Problems rarely arrive labelled as an “AI project” or a “data project.” They arrive as something that costs too much, takes too long, or can’t be measured. We start there, and choose the technology afterwards.

Software

Custom web applications, internal business systems, SaaS platforms, APIs, and integrations — built to be maintained, not just demonstrated.

Web appsAPIsIntegrations

Data

Pipelines, warehouses, catalog and product data, market and financial datasets. Getting data correct, connected, and usable by the systems that need it.

PipelinesCatalogsData products

Artificial intelligence

Classification, document extraction, search and matching, decision support, and agents — applied where they measurably beat the alternative, and skipped where they don’t.

ClassificationExtractionAgents

Digital products

Software we own and operate ourselves — starting with a product information platform for small and mid-sized businesses, with more in the pipeline behind it.

SaaSPlatformsTools

Automation

The recurring manual work — reconciliations, imports, reports, hand-offs between systems — turned into something that runs on its own and tells you when it doesn’t.

WorkflowBack officeMonitoring

Strategy & intelligence

Where technology actually pays back, what to build first, and the market, competitor, and operational intelligence needed to decide with evidence.

RoadmapsBIMarket intel

Capability pillars

Five pillars, one foundation.

A deliberately simple structure for a deliberately broad company. Most engagements draw on two or three of these at once.

01 / BUILD

Software engineering

  • Custom web applications
  • Internal business systems
  • SaaS platforms
  • APIs & integrations
  • Cloud architecture
  • Prototype to production
02 / INTELLIGENCE

AI & analytics

  • Applied machine learning
  • Document extraction
  • Classification & matching
  • Business intelligence
  • Decision support
  • Process automation
03 / DATA

Data engineering

  • Product & catalog data
  • Financial & market data
  • VMRS & parts data
  • Pipelines & warehousing
  • Data quality & governance
  • Licensed data products
04 / PRODUCTS

Bedrock-owned software

  • Bedrock PIM · in development
  • Industry-specific tools
  • Digital platforms
  • Data products
  • Future SaaS lines
  • Design-partner programs
05 / GROWTH

Commercial technology

  • Lead generation systems
  • Market intelligence
  • Competitive monitoring
  • Social & content technology
  • Marketing automation
  • Audience analytics

Bedrock products

We don’t only build for clients. We build for ourselves.

Consulting work funds product work, and product work sharpens consulting work. Everything below is Bedrock-owned software — built, operated, and supported by us.

In development · design partners wanted

Bedrock PIM

A modern product information management platform for small and mid-sized businesses — the companies that need enterprise product-data capability without enterprise cost, consultants, or an eighteen-month implementation.

Enterprise product-data capability, without the enterprise complexity.

  • One record per productAttributes, categories, media, suppliers, and channel-specific overrides in a single place.
  • Data quality you can seeCompleteness scoring, validation rules, and required-field enforcement per channel.
  • AI-assisted enrichmentSuggested attributes, categories, and descriptions drafted from source material — reviewed and approved by a human before publish.
  • Import, export, APISupplier feeds in, clean exports and an API out — so the catalog feeds the webstore, the ERP, and the marketplace from the same source.

Bedrock PIM is in active development and is not yet generally available. No pricing or launch date is being advertised until it is.

CONCEPT INTERFACE · BEDROCK PIM

Early build

Heavy-duty parts data tools

Working tooling from our parts-data practice — VMRS classification, interchange construction, and catalog normalization — being packaged into something distributors and software vendors can use directly.

VMRSInterchangeNormalization
In research

Industrial market datasets

Point-in-time pricing and availability histories built from public sources, structured for research teams. Data and methodology only — never signals or advice.

Point-in-timeLicensedResearch-grade
Ongoing

Internal tooling, productized

The utilities we build to deliver client work — extractors, matchers, monitors, reporting engines — are written to be reusable. The useful ones become products.

ExtractionMatchingMonitoring

Industry expertise

General capability. Specific knowledge.

Technology is transferable; context is not. These are the areas where we already understand the vocabulary, the data, and the way the business actually runs — which is usually the difference between software that works and software that gets abandoned.

Deep domain expertise

Automotive & heavy duty

Commercial vehicle parts, VMRS coding, interchange and cross-reference data, distributor and dealer catalogs, fleet maintenance data. Years of work inside this data, not a case study read about it.

Core

Distribution & ecommerce

Catalog quality, supplier feeds, channel publishing, search and findability, pricing operations, and the reporting that tells you which SKUs actually earn their shelf space.

Core

Financial & research

Market and alternative datasets, research tooling, monitoring systems, and custom analytics applications. Data and engineering only — we don’t give investment advice.

Core

Small & mid-sized business

Companies large enough to have a real technology problem but without an internal engineering team. Often the highest-return work there is, because the baseline is spreadsheets and re-typing.

Core

Software & technology

Vendors who need a specialist for one part of the build: a data layer, an AI feature, an integration, a migration, or a prototype that has to become a real product.

Open

New & emerging

Industries change, and so does what can be built. When a problem is a good fit for what we do, the sector it sits in matters less than whether technology can move the number.

Technology in action

What the work looks like.

Four representative build types, drawn from our own prototypes and product development. Client systems aren’t shown publicly — but this is the shape of what gets delivered.

Business intelligence people actually open

Numbers pulled from the systems that already hold them, reconciled once, and presented so an operator can act on the same screen where the problem appears.

  • Warehouse or direct-from-source reporting
  • Exception queues, not just charts
  • Role-based access and scheduled delivery
  • Built to survive the source system changing

Build

If you can describe the problem, it can probably be built.

Most of what companies need isn’t exotic. It’s a system that holds the right information, shows the right people the right view of it, and does the repetitive part automatically. We build that — as a web application, an internal tool, an integration between systems that don’t talk, or a product with customers on it.

We work from prototype to production: something usable early, hardened once it’s clearly right, and documented so it can be handed to your team or kept running by ours.

  • Custom web applications
  • Internal business systems
  • SaaS platforms & portals
  • APIs and system integrations
  • Dashboards & reporting tools
  • Workflow & approval systems
  • Data-heavy applications
  • Cloud infrastructure & deployment
Typical architectureBedrock
UIWeb app · dashboard · mobile viewReact / SSR
APIApplication services · auth · business rulesREST / typed
JOBScheduled work · imports · notificationsQueued
DBOperational store · warehouse · object storageVersioned
EXTERP · DMS · marketplace · supplier feedsIntegrated

Nothing exotic by default. Boring, well-understood technology is usually the right answer for systems that have to run for years.

Before → afterProduct record
SOURCE · 4 SUPPLIER ROWS
AIR COMP 2CYL 12V  | a-4471 | ea
Compressor Air 2 Cyl  | A4471 | EACH
compressor,air,2-cylinder | A-4471-AC
AIR-COMPRESSOR 2 CYL  | 4471A | 1
RESULT · 1 NORMALIZED RECORD
NameAir compressor, 2-cylinder
Part no.A-4471
AliasesA4471 · A-4471-AC · 4471A
UOMEach
VMRS013-001-001
Confidence0.97

Data

Messy product data, made usable.

Product and catalog data is one of the areas where we go deepest. Four suppliers describe the same item four different ways, part numbers carry punctuation nobody agrees on, and attributes live in PDFs. That’s not a search problem — it’s a data problem, and it quietly limits everything built on top of it.

We deduplicate, normalize, extract attributes, build cross-references, classify, and deliver in whatever format your systems ingest. Then we tell you how accurate it is, measured on a held-out sample, rather than asserting that it’s clean.

  • Catalog cleanup & deduplication
  • Attribute extraction
  • Unit & brand normalization
  • Cross-reference / interchange
  • Supplier feed mapping
  • Data quality scoring
  • Warehousing & pipelines
  • Licensed data products
Heavy duty · specialist

VMRS coding

Bulk assignment of Vehicle Maintenance Reporting Standards codes to parts catalogs and service records, so maintenance data becomes comparable across locations, vendors, and systems. Accuracy is measured and reported per batch.

Heavy duty · specialist

Interchange & cross-reference

Linking OEM, aftermarket, private-label, and competitor numbers that refer to the same physical part — including the one-to-many cases and the published interchanges that contradict each other. We flag conflicts instead of hiding them.

Heavy duty · specialist

Parts & fleet intelligence

Supplier data consolidation, catalog enrichment for distributors and software vendors, and the reporting that turns service history into cost-per-mile, warranty recovery, and failure-rate analysis.

Intelligence

Use AI when AI is the right tool.

AI is one capability here, not the personality of the company. Some problems are a model; many are a well-written rule, a schema fix, or a report that didn’t exist. Choosing wrong is expensive in both directions — and most of the disappointment we see comes from a model being asked to do a job that a database constraint would have done perfectly.

Where a model genuinely wins — judgment at a scale humans can’t reach, messy language, documents, matching across variation — we build it properly: thresholds, human review, evaluation against a held-out set, and honest reporting of what it gets wrong.

  • Classification at scale
  • Document & PDF extraction
  • Search, matching & dedupe
  • Natural-language interfaces
  • Decision support
  • Agents & assisted workflows
  • Predictive & scoring models
  • Custom AI applications
How we chooseRight tool
The rule is stable and knowableSoftware
The data is inconsistent but structuredData engineering
Judgment, language, or documents — at volumeAI
People need to see it, not compute itAnalytics / BI
It happens the same way every weekAutomation
Nobody agrees what “correct” means yetDon’t build yet

The last row is the one that saves the most money. Some projects need a definition before they need a developer.

Financial technology & data

Market data, research tools, and the systems around them

Building and maintaining datasets, research applications, monitoring systems, and analytics for people whose work depends on evidence. Our own background includes industrial pricing and availability data, which behaves as a leading indicator for freight and fleet activity.

  • Alternative & market datasets
  • Point-in-time data capture
  • Research & screening tools
  • Financial analytics applications
  • Automated monitoring
  • Data delivery & APIs

Bedrock Strategic provides data, engineering, and methodology only. We do not provide investment advice, recommendations, trading signals, or portfolio management, and we are not a registered investment adviser.

Growth technology

Systems that find, qualify, and monitor

Technology-enabled growth rather than agency retainers: structured prospect universes, enrichment, competitor and pricing monitoring, content and social analysis, and the automation that keeps it current without a person copying rows into a spreadsheet.

  • Lead generation systems
  • Prospect & account enrichment
  • Competitive monitoring
  • Social & content analysis
  • Audience intelligence
  • Marketing automation

We build the machinery and hand over the operating manual. If you want an agency to run campaigns, we’ll tell you so.

How we work

Prove it small. Then build it properly.

The fastest way to find out whether something is worth building is to build a small, real version of it against real data — before anyone signs up for a long project.

01 / SCOPE

Start with the problem

A conversation about what’s slow, expensive, or unmeasurable — not about technology. We’ll say plainly if the answer is a process change rather than software.

02 / PILOT

A fixed-price slice

A representative piece of the real work, priced up front, with a defined output you can judge. If it doesn’t hold up, you’ve spent a little and learned a lot.

03 / BUILD

Production, in increments

Working software in visible stages, with the boring parts done properly: validation, monitoring, access control, documentation, and a way to roll back.

04 / OPERATE

Run it or hand it over

We can keep it running and improving, or document and transfer it to your team. Both are fine outcomes. Being difficult to leave is not a strategy.

About Bedrock

Bedrock is the foundation, not the specialty.

Bedrock Strategic exists to find the places where technology creates measurable value, and then build the thing. Sometimes that’s a system for a client. Sometimes it becomes a product we own and operate. Sometimes it’s a dataset, an automation, or a model — and sometimes the honest answer is that it shouldn’t be built at all.

The company is deliberately broad because the useful work is. What stays constant is the approach: understand the business problem first, choose the technology second, prove it on something real, and be straight about what it does and doesn’t do.

The name is the idea. Bedrock is what everything else gets built on — structured, load-bearing, and expected to still be there in ten years. That’s the standard we hold the work to, whether it’s a client system, a data product, or software with our own name on it.

800,000+ Part numbers processed while developing and testing our product-data pipelines.
NDA first Signed before any client data changes hands. Client data is never reused in other products.
Measured, not asserted Where accuracy matters, it is evaluated against a held-out sample and reported — including the failures.

Questions

Frequently asked

What does Bedrock Strategic do?

Bedrock Strategic is a technology solutions and product company. We design, build, and operate software, data systems, AI applications, automation, and digital products — both for clients and as products we own. The work spans custom applications, data engineering, business intelligence, product information management, applied AI, financial and market data, and growth technology.

What kinds of projects do you take on?

Anything where a clear business problem can be moved by software, data, or automation: a custom web or internal application, an integration between systems that don’t talk, a data pipeline or warehouse, a dashboard, a classification or extraction model, a catalog cleanup, a research tool, or a prototype that needs to become a real product. If a project isn’t a good fit for us, we say so early and try to point you somewhere better.

Is Bedrock an AI company?

No. AI is one capability among several. We use it where it measurably beats the alternative — classification at scale, document extraction, matching across messy variation, language interfaces — and we use conventional software, data engineering, or a process change where those are the better answer. Choosing the wrong tool is expensive in both directions.

Do you build your own products, or only client work?

Both. Client work and product work fund and sharpen each other. Our first named product is Bedrock PIM, a product information management platform aimed at small and mid-sized businesses, currently in active development and looking for design partners. It is not yet generally available, and we don’t advertise pricing or a launch date until it is.

What is VMRS coding and why does it matter?

VMRS stands for Vehicle Maintenance Reporting Standards, a coding system maintained by the Technology & Maintenance Council for classifying parts, systems, and repair work on commercial vehicles. Assigning VMRS codes to a catalog or to service records makes maintenance data comparable across locations, vendors, and software systems.

Without it, the same repair is recorded five different ways and no one can measure cost per mile, warranty recovery, or failure rates reliably. We assign these codes at scale and report measured accuracy rather than asserting it.

What is a parts cross-reference or interchange file?

A cross-reference, also called an interchange, links part numbers from different manufacturers that refer to the same physical part. It is what lets a distributor answer “what else fits this” when a customer arrives with an OEM number, and what lets a catalog offer substitutes when an item is out of stock.

Building one accurately is harder than it looks, because supplier numbering is inconsistent, one-to-many relationships are common, and published interchanges frequently contradict one another. We build them and flag the conflicts instead of hiding them.

Do you work with our existing ERP, DMS, or PIM system?

Yes. We deliver in whatever format your systems ingest — CSV, Excel, JSON, a database load file, or an API endpoint — and we integrate with what you already run. We do not require you to move platforms, and for data work we usually don’t need production access; an export is normally enough.

How do you handle confidential data?

We sign an NDA before receiving data, work only from the extracts required for the engagement, and do not resell, redistribute, or reuse client data in other products. If your data cannot leave your environment, tell us during scoping and we will discuss what is workable.

What size companies do you work with?

Mostly small and mid-size companies — distributors, dealer groups, fleets, software vendors, and operators — large enough to have a serious technology problem but without a dedicated engineering or data team. We also take on scoped projects for larger organizations where an internal team needs an outside specialist for one piece of the work.

Do you provide investment advice or trading signals?

No. Our financial work is data, engineering, and methodology: point-in-time datasets, research and monitoring tools, and custom analytics applications. Industrial parts pricing and availability are a useful alternative dataset because they move ahead of reported results — tightening price and availability generally indicate high freight and fleet utilization, and softening indicates slowing activity.

We build clean, documented versions of that history and license it to research teams. We do not provide investment advice, recommendations, trading signals, or portfolio management, and we are not a registered investment adviser.

How does an engagement start?

With a scoping call, followed by a fixed-price pilot on a representative slice of the real work so you can judge quality before committing to more. Email hello@bedrockstrategic.org with a few sentences about the problem and what you need it to do.

Tell us what you’re trying to build.

A few sentences about the problem is enough to start — what it costs you today, what you wish the system did, or just the part that keeps breaking. If we’re not the right fit, we’ll say so and point you somewhere better.

Typical first reply within one business day. NDAs signed before any data changes hands.