Choose your route

Start with who owns the delivery risk, not with a list of technologies.

Datrick serves professional buyers who need senior data or AI work delivered with explicit ownership, evidence, controls, and a practical path from one urgent problem to ongoing capability.

Find your buyer route Review verified experience

Buyer routingOne accountable problem

Identify the ownerWho carries the client, production, quality, adoption, or operating consequence if delivery fails?

Buyer

Name the pressureIncident, handover, backlog, migration, reporting failure, AI quality gap, or enablement target.

Risk

Choose the entry routePartner delivery, data operations, AI evaluation, Claude enablement, or workflow implementation.

Path

Scope in writingDescribe the context, what is at risk, what has been tried, access constraints, and the required outcome.

Start

Buyer routes

Choose the role closest to the decision you need to make.

IT service firm / agency

Add delivery without giving up the client

You own the account and commercial commitment, but need senior DBA, migration, BI, analytics, Claude, or AI evaluation capacity behind your delivery model. If a client AI agent is already live, review the white-label AI managed support model for MSPs.

Scope partner delivery

CTO / technical leader

Restore ownership or stabilize critical data work

A key person left, an environment is undocumented, a migration is at risk, or internal teams cannot reliably own database, BI, pipeline, or analytics responsibilities.

Scope data operations

AI training / evaluation company

Add technical domain judgment to model evaluation

Your program needs managed contributors for coding, SQL, data, analytics, rubrics, reference answers, model-output review, calibration, and quality operations.

Scope an evaluation pilot

Learning / enablement leader

Build role-specific Claude capability

Your team needs a practical readiness assessment, certification preparation, Claude Code enablement, or a structured bootcamp connected to real engineering and data work.

Scope team enablement

Founder / operator

Decide where AI creates value before funding a pilot

You see opportunities across reporting, documents, support, triage, or knowledge work, but need help prioritizing the use case, selecting the model route, and defining a credible implementation roadmap.

Scope an AI assessment

Route by pressure

If the role is unclear, use the immediate operating consequence.

ImmediateContinuity at risk

Production incidentA database problem is active and the authorized team needs controlled triage and stabilization. Failed handoverA DBA, developer, manager, or vendor left without usable ownership transfer. Migration or reporting riskValidation, continuity, performance, ownership, or operational support is blocking progress. Client delivery gapAn IT service firm has demand but lacks the specialist capacity to deliver confidently.

BuildCapability needs an owner

Production AI workflowA repeated business process needs context, evaluations, human review, controls, and operating ownership. Claude implementationA team needs controlled Claude implementation support to move from experimentation to production use. Technical AI evaluationA model program needs coding, SQL, data, analytics, rubrics, reference answers, and quality operations. Team enablementA leader needs a role-specific learning path, readiness signal, or structured certification program.

Why Datrick

Different buyers enter through different problems, but the delivery standard stays consistent.

Measured data result

68% faster queries and 85% lower scan volume

A verified warehouse optimization engagement improved analytical query performance and reduced unnecessary scan behavior while strengthening reporting-layer maintainability.

Partner delivery

A five-year relationship expanded across adjacent data services

Reliable DBA/NOC and migration delivery led an IT operations partner to add BI, reporting, analytics, and ongoing work while retaining the client relationship.

Confidential AI delivery

Technical evaluation for leading AI model programs

Datrick contributors have supported technical tasks, rubrics, reference answers, and model-output review across coding, SQL, data, analytics, and workflow topics.

Ecosystem participation

Claude Partner Network participant

Datrick connects AI capability to real data, documents, operations, evaluation criteria, human review, and operating guidance rather than stopping at experimentation.

Evidence standard.Metrics are published only where verified. Confidential client, model, contract, and system details remain private; they are not replaced with invented numbers. Review the verified long-term partner-delivery evidence.

Strong fit

Datrick is most useful when the work has a real consequence and an accountable buyer.

Business-critical

Failure affects a client, production system, decision, deadline, or quality program

The work matters enough to require senior judgment, clear escalation, reviewable evidence, and a delivery owner rather than anonymous task completion.

Cross-functional

The problem sits between systems, data, operations, and people

Ownership gaps, migrations, reporting, AI workflows, and technical evaluation often fail at the boundaries between teams rather than inside one tool.

Authorized

The buyer can provide a legitimate path to context and decisions

Named stakeholders, authorized access, permitted materials, communication routes, approval authority, and confidentiality requirements can be established.

Expandable

A bounded entry point can become an operating capability

Start with one incident, handover, workstream, pilot, evaluation queue, or enablement goal, then expand only after delivery quality is observed.

Not the right fit

Clear exclusions save time before scoping.

No demand

A generic partnership with no active problem

Datrick does not hold specialist capacity for speculative resale or a conversation with no accountable buyer, workload, consequence, or describable starting point.

No authority

Access or use rights are unclear

Work cannot begin responsibly when client authorization, credential ownership, contributor identity, confidential-material rights, or production change authority is unresolved.

Commodity only

Lowest-price labor is the only selection criterion

Datrick is positioned for managed technical delivery and quality ownership, not undifferentiated staffing or generic annotation priced only by the unit.

Unsupported promise

The outcome, staffing, or deadline has already been guaranteed

Datrick must review the scope, evidence, access, dependencies, capacity, and acceptance criteria before confirming a delivery commitment.

Written fit check

Five details are usually enough to identify the correct next route.

1
Your role
State who you are, who owns the budget and decision, and whether a client, production system, team, or program is affected.
2
The situation
Describe what is happening, what is at risk, what has been tried, and why the current team cannot resolve it alone.
3
The environment
Name the relevant systems, workflows, task families, tools, data, operating constraints, or team context without sending secrets.
4
The required outcome
Explain what must be stabilized, delivered, evaluated, learned, automated, documented, or handed over for the work to be useful.
5
Timing and investment
Share urgency, decision process, expected workload, preferred engagement shape, and a realistic investment range.

Fit check

Still unsure which route applies? Describe the consequence first.

A senior lead will identify the likely service path, ask for missing context, or say clearly when Datrick is not the right fit.

Start a written fit check