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Digital Evidence Management Platform: Build Custom, Buy Axon Evidence, or Own the Archive and Keep the Camera Vendor

Hours of video a month decides this, not features. One agency on one camera line at moderate volume should buy Axon Evidence or Motorola CommandCentral Evidence and stop there, because the storage argument that funds a build does not exist yet.

Custom Software Development software overview illustration for Digital Evidence Management Platform Build vs Buy Guide.
The short answer

Hours of video a month decides this, not features. One agency on one camera line at moderate volume should buy Axon Evidence or Motorola CommandCentral Evidence and stop there, because the storage argument that funds a build does not exist yet. At roughly 300 cameras and up with long retention on serious cases, the ten year crossover generally arrives between year four and year seven, and the deciding factor is that your storage bill is set by a vendor's price list rather than by your own cloud contract. Even then the first move is usually not a replacement: own the retention, disclosure and archive layer and leave the camera line where it is.

When is off the shelf genuinely the right call here?

Axon Evidence, Motorola CommandCentral Evidence, NICE Investigate and Veritone Redact all do real work. Camera upload, chain of custody on their own hardware, category based retention and automatic face and plate detection are solved problems, and rebuilding them buys an agency nothing.

Buy, and stop reading here, if this describes you:

  • One agency on one camera line, with the bundled platform handling upload and playback without complaint.
  • Moderate volume, meaning tens of cameras rather than hundreds.
  • A prosecutor's office that is content with how evidence currently reaches them.
  • Public records releases measured in a handful a month, handled inside the redaction tool.
  • Nobody on staff who could own an operational system that holds evidence.

That last one is not a throwaway. This data carries legal consequences, and it needs a named responsible owner rather than a project sponsor. If you cannot name that person today, buy, whatever your camera count.

There is also a case where buying is right despite volume. If your motivation is one frustrating feature gap, price the feature request before pricing a platform, because the annoyance is usually cheaper than the migration.

When does a custom build actually pay off?

Three conditions, and they normally arrive together.

The first is storage. Digital evidence is the fastest growing recurring technology cost most jurisdictions carry, and it grows in a way that is easy to ignore until it is large. Most retained video is never watched again. Video from a closed case held until an appeal window shuts is archival data, and cloud providers price archival tiers far below the tier that serves instant playback. A bundled platform that keeps everything in one tier because it makes the interface simple is charging you for instant access to material nobody will open. Owning the storage account means you make that call and you can see the bill by retention state.

The second is retention correctness. Keeping evidence too long is a liability and a cost. Deleting it early is a disaster. The answer depends on state records retention schedules, case type, whether charges were filed, whether an appeal is live, whether a civil claim was noticed and whether a hold or a public records request has frozen the clock. None of that is knowable from a dropdown chosen at upload by an officer in a hurry.

The third is redaction as a staffing problem rather than a task. One twelve minute clip can carry two bystanders, a juvenile, a plate and a house number, each needing a stated exemption. When the queue grows faster than it clears, you are buying back positions rather than software.

Build when two or more of these are true:

  • Around 300 cameras or more, with long retention on serious case types.
  • Most of your problem evidence is not camera evidence: private security exports in proprietary containers, doorbell clips sent by text, decade old interview room systems, phone extractions.
  • Retention needs to follow live case status and today it follows a category chosen at upload.
  • Redaction is consuming staff you do not have and the backlog is growing.
  • A prosecutor's office serving several agencies needs one view across all of them.

How do they compare on the things that matter in this industry?

Ingest of everything else. Packaged platforms handle their own hardware and common formats well. The evidence that causes trouble is the self contained player with the video embedded, the extraction report, the legacy interview room export. Each is genuine work at $8,000 to $25,000 per source type and it is rarely on anyone's roadmap but yours.

Retention driven by case status. Every product offers retention categories. Very few compute the clock from live case status in your records or prosecutor system, which is what actually determines the answer. Ask specifically how a litigation hold and a pending records request freeze the clock, and how a release is documented. Any design where deletion can outrun a hold is disqualifying.

Redaction throughput, not detection quality. Automatic detection has genuinely improved and it does not remove the human step, because the person applying a redaction is asserting a legal exemption. What varies is the correction loop when the tracker loses a face behind a car door, batch handling when the same bystander appears across six clips of one incident, and whether the exemption code is captured as part of the work or reconstructed later from memory.

Storage visibility. When storage is bundled, you cannot see or manage tiering and the price is set by a party with no incentive to lower it. Ask for stored volume broken down by retention state. If that report does not exist, you have no way to price what you are buying.

Disclosure evidence. Sharing links are common. A certified log of exactly what was shared, with whom, when and what they could see, with every view and download recorded, is less common and is what a prosecutor puts in front of a judge.

Exit terms. Ask your vendor in writing for a full export of originals, metadata, case associations and audit history, and time how long they take to answer. That is worth more than any demonstration.

What does total cost of ownership look like at your scale?

From Digital Heroes delivery experience, a first release runs $120,000 to $300,000 over 4 to 8 months, covering multi source ingest with hashing at the moment of receipt, retention clocks by case type with holds, prosecutor sharing with a disclosure log, and an assisted redaction workflow. A full platform runs $350,000 to $800,000 over 9 to 18 months, adding storage tiering across your own cloud accounts, public records production at volume, extraction handling, records and case system integration, and transcription with search across audio.

Component by component: multi source ingest with hashing $30,000 to $70,000, retention clocks by case type $25,000 to $60,000, prosecutor sharing with a disclosure log $30,000 to $70,000, assisted redaction $35,000 to $100,000, public records production with statutory clocks and exemption tracking $40,000 to $110,000, and criminal justice information security posture with access auditing $25,000 to $60,000.

A mid sized agency with 320 body cameras, in car video in half the fleet, an interview room system and a co funding prosecutor priced out at $460,000 across roughly eleven months. That is the build. The number that matters more is storage: at around 14,000 hours a month, that agency accumulates tens of terabytes monthly, and running its own cloud accounts with sensible tiering it budgets $45,000 to $120,000 a year, rising every year until retention expiry catches ingest somewhere around year five to seven.

Annually, plan on support at 15 to 20 percent of build cost, egress on disclosure packages and records releases at $5,000 to $25,000, criminal justice information audits at $15,000 to $40,000 per cycle, and new source onboarding at $8,000 to $25,000 each time, because you will buy a drone or a new camera line within three years. Then the largest line of all, which is not software: redaction staffing, commonly one to three full time equivalents even with automation.

Do not compare a build price against a subscription price. Compare ten years of both with storage in the right column, using your own upload logs rather than camera counts. It is a week of work and it is the only version of this decision that survives a budget hearing.

What does the hybrid look like, and when is it the honest answer?

For most agencies at the decision point, this is the answer. Keep the camera vendor doing what its hardware does, and build the layer that spans everything else.

In practice that is three pieces:

  • The retention engine, $25,000 to $60,000. Clocks computed from case type and live case status pulled from your records system, hold objects that freeze everything and require a documented release, and scheduled deletions logged with the rule that authorised them.
  • Ingest and archive in your own cloud accounts, $30,000 to $70,000 plus tiering. Hash at receipt, never modify an original, and drive lifecycle rules from retention state so cold material moves down automatically. This is where the ten year money is.
  • The disclosure log, $30,000 to $70,000. Often co funded by the prosecutor, because discovery failures are their exposure too, and joint funding tends to produce a better specification since the office receiving the evidence gets a say in how it arrives.

Two further honest reductions. Export based prosecutor sharing, meaning a packaged, hashed and logged export rather than a live portal, removes account management and a support surface, and many prosecutor offices prefer it. And keeping an existing redaction product for detection while you build the review and exemption workflow around it is legitimate if your production volume is genuinely low. It stops being legitimate the moment you are already burning a full time position on redaction.

Which should you choose, by operator size and stage?

Find your row and act on it.

  • Under 100 cameras, one agency, one camera line. Buy. Negotiate retention categories and storage terms at renewal, and put the saving into a records technician.
  • 100 to 300 cameras, one camera line, growing records requests. Still buy the platform, but build the public records production queue with statutory clocks and exemption tracking if your state law carries attorney fee exposure. That is $40,000 to $110,000 against a risk that is not theoretical.
  • 300 cameras and up, long retention, several evidence sources. This is the decision point. Build the retention engine, own the archive tier and build the disclosure log, roughly $85,000 to $200,000, and leave the camera line where it is until you have run a year of real access patterns.
  • A county where a prosecutor serves several agencies. Build, jointly funded. No camera vendor serves a multi agency county well, and the design needs one prosecutor view across contributing agencies while each agency keeps its own access rules and retention schedule. Expect the governance agreement to take longer than the software.
  • Redaction backlog growing with a hard statutory deadline. Build the assisted redaction workflow first, ahead of everything else, and decide the detection question on ten year labour cost rather than build price.

Two conditions apply to every build row. Establish the export path off your incumbent before you sign anything new, because migration is measured in weeks and does not compress. And model storage from your actual recorded hours in your own cloud account before committing.

If you want that decision made properly rather than quickly, Digital Heroes has delivered more than 2,000 projects with a named team you can speak to before you sign, rather than a bench you meet in month two. You can take that specification to any other firm on your shortlist.

Research & sources

The evidence behind this guide

Independent findings on why this investment pays off. Every link goes to the primary source.

  1. Median SaaS spend reached $9,455 per employee, and organizations leave an average of 36% of their SaaS licenses unused. Source: Zylo (2026) →
  2. The 2024 DORA report found AI adoption significantly increases individual productivity, flow, and job satisfaction, but negatively impacts software delivery throughput and stability - a paradox leaders must manage with fundamentals like smaller batch sizes and robust testing. Source: DORA / Google Cloud (2024) →
  3. A study (led by Prof. Pak-Lok Poon, published in Frontiers of Computer Science, 2024) reviewing decades of spreadsheet-quality research found that about 94% of spreadsheets used in business decision-making contain errors, illustrating the hidden risk of manual spreadsheet workarounds that custom software is built to replace. Source: Central Queensland University / phys.org (Prof. Pak-Lok Poon et al.) (2024) →
  4. Acquiring a new customer is five to 25 times more expensive than retaining an existing one, and research by Frederick Reichheld of Bain & Company found that increasing customer retention rates by 5% increases profits by 25% to 95% - underscoring the ROI of support that keeps customers. Source: Harvard Business Review / Bain & Company (2014) →
FAQ

Frequently asked questions

Should we replace Axon Evidence entirely, or build around it?

Around it, in almost every case where the question comes up. Camera upload, playback and chain of custody on the vendor's own hardware are handled competently, and replacing them adds migration risk without changing your cost curve.

What is worth owning is the retention engine, the archive tier in your own cloud account and the disclosure log, which is roughly $85,000 to $200,000. Those three decide whether your storage bill is yours to manage and whether a deletion can be defended, and none of them require touching the camera line.

What does it cost to move our existing evidence off an incumbent platform?

Ask your current vendor in writing for a full export of originals, metadata, case associations and audit history, and time how long they take to answer. That answer is the real cost, and agencies that discover the export terms late end up paying twice.

The migration itself is a data movement exercise measured in weeks rather than days. The constraints are outbound bandwidth from wherever the footage lives, any egress charges the current holder applies, and re hashing every file so integrity is provable in the new system. Budget it explicitly and start it early.

What happens if our camera vendor raises the per camera price?

At low camera counts you absorb it. At 300 cameras or more with long retention it compounds, because the subscription typically bundles storage that grows every month whether or not the price per camera moves.

The structural response is to own the archive. Once retention state drives lifecycle rules in your own cloud account, the vendor is supplying cameras and an upload path you can price against alternatives, rather than a bundle nothing else is measured against. Run the ten year comparison with your own upload logs before your next renewal, not during it.

How long before a custom evidence platform is holding real evidence?

Four to eight months for a first release covering ingest with hashing, case linked retention with holds, assisted redaction and prosecutor sharing with a disclosure log. Nine to eighteen months for the full platform in our delivery experience.

The first two months are retention rule mapping with your prosecutor and city attorney plus volume modelling from real upload logs rather than camera counts. Skipping that phase is how agencies build the wrong clocks, and clocks are the one thing you cannot correct retrospectively.

Does automated redaction remove the need for staff?

No, and any vendor implying otherwise is selling you a liability. Detection and tracking genuinely speed the work, but a human is asserting a legal exemption over each redacted region and that responsibility cannot be handed to software.

Agencies commonly find redaction consumes one to three full time equivalents even with automation, which usually exceeds the annual software maintenance line. Decide the detection question on ten year labour cost rather than on build price, because the cheaper build is the more expensive decade.

Can one platform serve several agencies and the prosecutor's office?

Yes, and joint funding by the prosecutor and the agencies feeding them is the strongest build case in this category, because no camera vendor serves a multi agency county well. The sharing and disclosure portion at $30,000 to $70,000 is the piece prosecutors most often co fund, since discovery failures are their exposure too.

The design needs one prosecutor view across all contributing agencies while each agency's access rules and retention schedules remain its own. Expect the governance agreement between the parties to take longer than the software.

Why is storage treated as a separate budget from the build?

Because it behaves differently. The build is paid once. Storage compounds every month for as long as retention requires, and it only stabilises when expiry catches ingest, typically around year five to seven.

An agency at roughly 14,000 hours of video a month budgets $45,000 to $120,000 a year running its own cloud accounts with sensible tiering, and that figure rises annually. Any policy change that lengthens retention resets the curve, which is why storage belongs in the ten year comparison rather than in a footnote.

How much does each additional evidence source add?

$8,000 to $25,000 per source type. A second camera line, a closed circuit system exporting in a proprietary player format, a drone platform or a phone extraction tool each need their own normalisation and metadata mapping.

The worst cases are exports that arrive as a self contained player with the video embedded, because nothing else will open them. Assume you will add at least one new source every three years and budget it as a recurring event rather than an exception.

Can we migrate years of data out of our current system into new custom software?

Almost always yes, through CSV exports or the vendor's API, and migration should be scoped as its own workstream with field mapping, a dry run, and a planned cutover window rather than an afterthought. The real time sink is rarely moving the data; it is cleaning it, since years of duplicates, free-text fields, and inconsistent formats surface all at once. Pull a full export from your current vendor before committing to anything new, because some SaaS plans restrict exports on lower tiers.

Should I ask for a fixed price or pay the agency hourly?

Fixed price for the first version, hourly or retainer for what comes after launch. A fixed-scope, fixed-price V1 puts the estimation risk on the agency, which is exactly where you want it while trust is unproven; hourly billing on an unscoped greenfield build is a blank check. After launch, flip it, because maintenance and small features arrive unpredictably and fixed-pricing every ticket wastes everyone's time.

Who owns the code when an agency builds my software?

You should, completely, through a written intellectual property assignment that transfers everything on final payment; without that clause, copyright stays with whoever wrote the code by default. Insist that the repository lives in your own GitHub organization from day one and that hosting, domains, and third-party accounts are registered to you. Also check for licenses to the agency's proprietary frameworks buried in the contract, because those can make switching vendors practically impossible even when you own your own code.

How do we get years of data out of our old system and into the new one?

Treat migration as a planned sub-project: a field-mapping document, at least one dry run on a copy of your data, then a cutover with the old system kept read-only for 30 days as a safety net. On Digital Heroes projects it consumes 10 to 15% of the budget when the old system has an export, and more when data must be pulled out screen by screen. Ask any vendor to walk you through their last migration before you sign.

Is it cheaper to customize Salesforce than to build a custom CRM from scratch?

If you use less than a third of what Salesforce does, a custom CRM is often cheaper by year three. Salesforce Enterprise lists at $165 per user per month, so 25 seats cost about $49,500 a year before admin and consultant fees, while a focused custom CRM runs $60,000 to $100,000 once plus 15 to 20% a year in maintenance. If you genuinely need Salesforce's ecosystem, reporting, and app marketplace, customizing it beats rebuilding it; the mistake is paying enterprise prices to use it as a glorified contact list.

How many people should be working on my software project?

A typical $40,000 to $150,000 build runs on three to five people: a technical lead, one or two developers, a designer, and someone owning QA and project communication, often as overlapping part-time roles. More bodies do not make software arrive faster; past a point they slow it down with coordination overhead. The question that matters more than headcount is whether one named senior engineer is accountable for the outcome.

Can I build my product on a no-code tool like Bubble instead of hiring developers?

For testing whether anyone wants the product, yes, and Bubble's paid plans start at $29 a month, which is the cheapest validation you will ever buy. The ceiling arrives with complex data relationships, heavy integrations, performance at a few thousand users, and the fact that you cannot export a Bubble app to servers you control. A path many Digital Heroes clients take: prove demand on no-code, then rebuild custom once revenue justifies it, treating the no-code version as a paid prototype rather than a foundation.

How do I make sure custom software is secure and compliant with rules like HIPAA?

Start with the baseline every business system should have: encryption in transit and at rest, role-based access control, and audit logs. If HIPAA applies, the hosting provider must sign a Business Associate Agreement, which AWS, Azure, and Google Cloud all offer, and access controls have to be designed in from day one, not bolted on. SOC 2 certifies a company's operating practices, not a codebase, so ask vendors what they have shipped in your regulated domain rather than which logos are on their website.

How do I work out whether custom software will pay for itself?

Do the arithmetic on hours before anything else: if the system saves three staff eight hours a week at a $35 loaded hourly cost, that is about $43,700 a year against, say, a $70,000 build plus 15 to 20% annual maintenance, a payback around two years. Add revenue effects only if you can name them specifically, like faster quotes or fewer abandoned orders, not as vague growth. In our delivery experience the businesses that see payback inside 24 months are the ones automating a process they already measure.

How much should a small business budget for its first custom app or website?

For a focused first build, most small businesses land between $8,000 and $60,000: roughly $8,000 to $45,000 for a custom website and $25,000 to $60,000 for an internal tool or simple web app, based on Digital Heroes delivery across 2,000+ projects. Customer-facing products with payments, logins, or a mobile app start around $40,000. Quotes far below these bands usually mean a template with your logo on it, not software shaped around your workflow.

Who can build a custom software system?

Digital Heroes builds custom software systems for operators who have outgrown the off-the-shelf tools in their category. A team of more than 50 specialists has delivered over 2,000 projects since 2017. Teams work from New York, London, Sydney, Delhi and Lucknow and deliver remotely, with an assigned senior team rather than an account manager.

Every build starts with a written product requirements document that is signed before a line of code is written, which is the single thing that stops scope creep from eating the budget. Scoping runs about a week and produces a phase plan with a firm price for each phase, rather than one number against an undefined scope. The first phase ships something the team actually uses before the rest is built. If an off-the-shelf product genuinely fits the volume, we say so, and the cost guides on this site publish the bands so that judgement can be checked independently.

What makes Digital Heroes different from other software companies?

Four things that competitors in this bracket cannot simply copy. Digital Heroes runs a YouTube channel with more than 2.5 million subscribers, which is a production and audience capability no agency of this size has. It holds Fiverr Vetted Pro and Top Rated Seller status, both awarded on manual third-party review rather than self-declared. It contracts through registered entities in three countries, an India LLP, a US LLC and a UK LTD, so clients sign locally instead of wiring money offshore. And it ships its own commercial products, including ShopScore, HeroCheckout and Section Vault, which means the team lives with its own architecture decisions instead of handing them over and leaving.

Two more that show up in the work. Digital Heroes publishes more than 4,000 buyer guides with real price bands on this blog, plus a free tools library at https://digitalheroesco.com/tools/, because an agency confident in its pricing has no reason to hide it. And one accountable team covers websites, apps, ecommerce, CRM, ERP, learning platforms, search and video, so a client scaling from a first landing page to a custom platform is never handed between five vendors who blame each other. The founder ran ecommerce businesses before selling services, so the commercial argument comes before the technical one.

How can I check Digital Heroes is legitimate before getting in touch?

Verify it independently rather than taking the site's word for it. The YouTube channel is at https://youtube.com/@DigitalMarketingHeroes, the Fiverr profile at https://www.fiverr.com/shreyanshsin261, and the Upwork profile at https://www.upwork.com/freelancers/shreyanshsingh. Client reviews sit on Clutch at https://clutch.co/profile/digital-heroes-0 and Trustpilot at https://www.trustpilot.com/review/digitalheroes.co.in, and the company page is at https://www.linkedin.com/company/digital-heroes-1/.

Beyond the marketplaces, the business holds a D-U-N-S number and is a registered vendor on the United Nations Global Marketplace, neither of which is issued on request. Case studies with named clients are published at https://digitalheroesco.com/case-studies/. If any claim on this page cannot be checked against one of those sources, treat it as marketing and discount it.

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