PRODUCT // THE OPERATIONS SYSTEM

    The Collide Operations System.

    We build your data foundation and unlock your company-wide deep brain. Your team puts it to work in one workspace — with enterprise guardrails, governance, and controls.

    WORKSPACE / LIVE RUNFIELD OPS / READY
    Which wells had casing problems in the last five years?
    Worked for 34s · searched 2,340 well files

    Six wells reported casing problems since 2021 — four resolved by workover, two flagged for intervention planning. The three most recent are below; every finding links to the document it came from.

    WellProblemReportedSource
    ROSE HILL 14-22HCasing leak at 8,450 ft; squeeze completedMar 2023Workover rpt. 23-114
    ROSE HILL 6-15HCement bond degradation, 7,900–8,200 ftNov 2024CBL survey, p. 12
    HOLLIS UNIT 3Surface casing pressure above thresholdJun 2025Field ticket 25-0331
    6 source documents Well database · 2,340 records
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    FULL WORKSPACE UI · CITED ANSWERS · SOURCE-LINKED RESULTS
    THE WALKTHROUGH

    The system, layer by layer.

    01
    YOUR DATA

    WE BUILD THE PIPELINES.

    We connect your documents, databases, legacy applications, maps, and communications — then get the data out of them. Well files, logs and mud reports. Completion and workover histories. Production and downtime data. Leases, contracts, acreage dedications and ownership records. Regulatory filings, GIS layers, and the procedures your team wrote by hand. Everything is structured into tables a workflow can actually use.

    • Pipelines built and run by Collide — not handed to your IT team as a project
    • Document Fracking across the archive: PDF classification, table extraction, contract and lease extraction, well-file processing — every extraction linked back to the page it came from
    • PDFs, spreadsheets, CSVs, databases, logs, maps
    • It's your data. You own the raw, extracted, and graph.
    Learn more →
    DOCUMENT ARCHIVE · WORKFLOW-READY DATA
    02
    YOUR DEEP BRAIN

    WHAT THE FOUNDATION UNLOCKS.

    One living model of your enterprise, where every asset carries its history, its documents, its contracts, and its obligations — wells, gathering systems, fleets. It's built on the 4D data model: all of your company's data, from structured systems and the unstructured documents we process, connected into one model that updates over time. The 4D data model is what feeds your deep brain — the foundation the whole stack is built on.

    • Structured data, unstructured documents, your team's institutional knowledge, and energy-domain intelligence in one model
    • Your experts' knowledge captured before it walks out the door — the pumper who hears rod knock and knows which well it is
    • Your deep brain lives in your environment and belongs to you
    03
    03 · RIGGS — ACCESSING YOUR DEEP BRAIN

    ACCESSING YOUR DEEP BRAIN

    Riggs connects to everything beneath it, runs the analysis, and produces the work: filings, reports, summaries, answers with citations. One thread carries a question all the way to a workflow that runs every quarter.

    • Ask questions in plain language — every answer carries its citations
    • Run real engineering analysis across the portfolio, not summaries of it
    • Generate submission-ready deliverables
    • Save a successful conversation as a repeatable workflow
    Which wells had casing problems in the last five years?
    Worked for 34s · searched 2,340 well files

    Six wells reported casing problems since 2021 — four resolved by workover, two flagged for intervention planning. The three most recent are below; every finding links to the document it came from.

    WellProblemReportedSource
    ROSE HILL 14-22HCasing leak at 8,450 ft; squeeze completedMar 2023Workover rpt. 23-114
    ROSE HILL 6-15HCement bond degradation, 7,900–8,200 ftNov 2024CBL survey, p. 12
    HOLLIS UNIT 3Surface casing pressure above thresholdJun 2025Field ticket 25-0331
    6 source documents Well database · 2,340 records
    Was this helpful?
    Ask, search, or make anything… ("/" for commands)
    FULL WORKSPACE UI · CITED ANSWERS · SOURCE-LINKED RESULTS
    04
    04 · WORKFLOWS — TOOLS, SKILLS, AND AGENTS, WORKING END TO END

    Workflows

    A workflow is a culmination of tools, skills, and agents. Riggs calls them; your people approve the result. Completed work is a finished workflow — a filing submitted, an analysis delivered, a report on someone's desk.

    Built-in agents

    Drilling Engineer

    Production Data Analyst

    Artificial Lift Specialist

    Well Engineering & Intervention

    Reservoir & Facilities

    Lease Analyst

    Skills — how the work should be done

    The accepted procedures, standards and decision logic across seventeen petroleum disciplines.

    Drilling engineering & well planningDrilling hydraulics & well controlCasing & cement designReservoir engineering & material balancePressure-transient analysisCompletions & stimulationPerforation & hydraulic-fracture designProduction surveillance & decline analysisProduction optimization & nodal analysisArtificial-lift selection & optimizationESP, gas-lift & rod-pump operationsWell integrity & intervention planningPetrophysics & formation evaluationGeoscience & subsurface interpretationSurface facilities & flow assuranceWater chemistry, corrosion, scale & treatmentEconomics, HSE, reserves & regulatoryLease MaintenanceLease provisionsHBP status

    Tools — deterministic code that does the work

    Engineering calculations

    decline curves, PVT, material balance, pressure-transient and nodal analysis, lift design, fracture geometry, casing and cement, economics, HSE and regulatory checks. Deterministic Python.

    Structured data

    SQL and schema exploration, well lookup, production history, downtime analysis, comparisons and aggregations.

    Documents

    PDF classification, table extraction, contract and lease extraction, well-file processing, source-linked search, document generation.

    Operational retrieval

    completion schematics, workover histories, directional surveys, casing inspections, PLT, formation data, tubular tallies, cement-bond logs.

    Geospatial

    wells, leases, acreage, contracts and infrastructure on a map.

    Regulatory

    explaining a filing, pulling the data it requires, validating it, and producing the submission-ready document.

    Visualization

    production plots, log-rate-time plots, maps, tables, engineering reports.

    THE OPERATIONS SYSTEM IN ACTION

    From question to answer.

    The architecture is model-agnostic. The planning model and the specialist model are configured independently, so the system gets better as frontier models get better — without a rebuild, and without you betting your operation on one vendor.

    REQUESTPLAIN-LANGUAGE QUESTION
    01

    PLAN · A frontier model reads the objective

    It decides what has to be answered, in what order, and which specialists it needs to get there.

    02

    RETRIEVE · Petroleum embeddings find the context

    Retrieval runs on oil-and-gas meaning rather than keyword similarity. Ask about casing and you get what a drilling engineer means by casing.

    03

    DELEGATE · The work routes to a specialist

    Domain questions go to Strata or to the agent that owns them. Drilling questions to the drilling agent, production questions to the production agent.

    04

    CONSULT THE SKILL · The accepted procedure loads

    Skills supply the equations, standards, operating limits and decision logic the work is actually supposed to follow.

    05

    EXECUTE THE TOOL · Deterministic code runs the math

    Decline curves, material balance, nodal analysis, casing design — real calculations in tested code, then queries against your own systems.

    06

    SYNTHESIZE · One cited answer comes back

    The root model combines every output into a single explainable answer, or a finished deliverable waiting on your review.

    COMPLETED WORKFILING · REPORT · ANSWER

    This is how a workflow runs — whether it starts as a question in Riggs or on a quarterly schedule.

    THE DIFFERENCE

    Why this isn't a frontier model with an energy prompt.

    01

    The critical math never runs in the model

    Decline curves, PVT, material balance, pressure-transient and nodal analysis, lift design, fracture geometry, casing and cement, economics — all of it executes in deterministic, tested code. Same inputs, same answer, every time. A language model doing arithmetic is a language model that will eventually get it wrong, on a number someone signs their name to.

    02

    Retrieval is petroleum-native

    Generic embeddings read your well files as English prose and match on word similarity. Ours were built on oil-and-gas language, so the passage that comes back is the one an engineer would have pulled.

    03

    The agents reason on a model of your company

    Not a pile of indexed documents — a structured model of your assets, their history, their contracts and their obligations. That's the 4D data model — a living, connected model of your assets, their history, their contracts and their obligations — and it's the part no competitor can prompt their way into. It has to be built.

    Anyone can call a frontier model. The moat is what you hand it before it answers.

    THE 4D DATA MODEL

    From flat files to a living model of your company.

    4D isn't four kinds of data. It's a ladder — each dimension is a step up in what your data can do. The same way 3D seismic plus time gives you 4D seismic, a connected model plus time gives you a living one.

    1D

    A document.

    Flat text. The answer is in there somewhere, connected to nothing.

    2D

    A database.

    Rows and columns. Structured, but still a silo.

    3D

    A connected model.

    Every data domain related to every other in one model: land and title, wells and production, facilities, finance.

    4D

    A living connected model.

    Add time. Continuously updated, so it's a living picture of your company instead of a frozen snapshot.

    186k141k122k97k62k44k28k12k7.4k3.1k950
    Layers Filters Draw Pin Saved Export Chat
    50 mi
    SPATIAL QUERY

    "Show every well on acreage where the lease expires within 18 months"

    31 WELLS · 6 LEASES MATCHED
    ROSE HILL 14-22HPRODUCING

    West Texas · Spud 2019

    Gas lift · Last workover Mar 2023

    412 boe/d14 documents3 contracts
    Open well file →
    ILLUSTRATIVE DATA
    SPATIAL QUERY · LEASE AND WELL DATA

    This is the connected-data core of your deep brain — built by the data foundation, and the reason someone can start at a well on a map and move to its production history, the lease that governs it, the filings it generated, and the documents that prove every step. Once, for the whole company, instead of once per analyst per question.

    KNOWLEDGE LAYERS

    Your deep brain, plus the Collide knowledge base.

    You get access to both.

    THE COLLIDE KNOWLEDGE BASE — EVERY CUSTOMER

    The Collide knowledge base

    • Petroleum-engineering texts and study materials.
    • Industry papers and technical references.
    • API standards and recommended practices.
    • Regulatory rules and filing requirements.
    • Engineering equations, correlations and operating limits.
    • Procedures our Forward Deployed Engineers have written in the field and generalized into the library.
    YOUR DEEP BRAIN — ONLY YOU

    Your deep brain

    • Your well files, logs, drilling and mud reports.
    • Completion and workover histories.
    • Production and downtime data.
    • Leases, contracts, acreage dedications and ownership records.
    • Regulatory filings.
    • Maps and GIS layers.
    • Your internal procedures and the tribal knowledge we captured from your people.

    Your deployment is private, and your data never trains shared models. The knowledge flows one way: the industry's expertise into your deep brain, never yours out of it.

    Security & Trust →
    ENTERPRISE CONTROLS

    The enterprise environment around all of it.

    GUARDRAILSGOVERNANCEPERMISSIONSUSAGE CONTROLSAUDIT

    And it's open. The tools and agents your team has already built plug in, run alongside ours, and are governed in one place. Nobody rips out work that's already paying off.

    FORWARD DEPLOYED ENGINEERS

    We don't hand you a login. We build it with you.

    Our engineers are in your office on a Tuesday, sitting with the people who do the work: connecting your data sources, capturing your experts' knowledge, and building your first workflows against your actual assets. This is the implementation mechanism, not staff augmentation. Your team's expertise becomes reusable capability that stays when we step back. The skills in our library started here — written by an engineer solving a real problem in a real field, then generalized so the next customer gets it on day one.

    THE MOTION

    Discover. Deploy. Prove. Expand.

    01 DISCOVER

    We find the workflow that eats your team's time and scope it against your real data.

    02 DEPLOY

    Forward Deployed Engineers connect your sources and stand the first workflow up in weeks, not quarters.

    03 PROVE

    The workflow runs live, measured against your baseline, reviewed by your people.

    04 EXPAND

    Kraken started with one lease-extraction workflow. It became a roadmap of 25+ applications.

    SECURITY SUMMARY

    Your data stays yours. Period.

    • Customer-controlled deployment: your Azure, Snowflake, or Databricks
    • Your data never trains shared models
    • Source-grounded answers, permissions, and audit trails throughout
    • Deployed the way your governance requires, including single-tenant in your own environment
    Security & Trust →
    FAQ

    Straight answers.

    START WITH THE WORK

    Find your first workflow.

    What's the workflow that eats your team's time? We'll show you exactly how it works on your assets.

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