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Observation window
90 days
Published by official sources. Dates are shown in UTC.
Updated Nov 2, 2026, 07:56 AM UTC
Official updates
10
Published in this view
Companies publishing
1
Distinct companies in this window
Days with activity
9
Days with at least one update
Independent stories
0
0 verified US tech publishers
Cross-company mentions
0
Independent stories associated with another company
Open prediction markets
0
Separate from hiring rankings
The infographic
Blackthorn Vision official publishing pulse
Publication cadence
When the updates appeared
Daily publication dates in UTC. Bars count posts; the line counts distinct companies.
| Date UTC | Updates | Companies |
|---|---|---|
| 2026-08-05 | 0 | 0 |
| 2026-08-06 | 0 | 0 |
| 2026-08-07 | 0 | 0 |
| 2026-08-08 | 0 | 0 |
| 2026-08-09 | 0 | 0 |
| 2026-08-10 | 0 | 0 |
| 2026-08-11 | 0 | 0 |
| 2026-08-12 | 0 | 0 |
| 2026-08-13 | 0 | 0 |
| 2026-08-14 | 0 | 0 |
| 2026-08-15 | 0 | 0 |
| 2026-08-16 | 0 | 0 |
| 2026-08-17 | 0 | 0 |
| 2026-08-18 | 0 | 0 |
| 2026-08-19 | 1 | 1 |
| 2026-08-20 | 0 | 0 |
| 2026-08-21 | 0 | 0 |
| 2026-08-22 | 0 | 0 |
| 2026-08-23 | 0 | 0 |
| 2026-08-24 | 0 | 0 |
| 2026-08-25 | 0 | 0 |
| 2026-08-26 | 0 | 0 |
| 2026-08-27 | 1 | 1 |
| 2026-08-28 | 0 | 0 |
| 2026-08-29 | 0 | 0 |
| 2026-08-30 | 0 | 0 |
| 2026-08-31 | 0 | 0 |
| 2026-09-01 | 0 | 0 |
| 2026-09-02 | 1 | 1 |
| 2026-09-03 | 0 | 0 |
| 2026-09-04 | 1 | 1 |
| 2026-09-05 | 0 | 0 |
| 2026-09-06 | 0 | 0 |
| 2026-09-07 | 0 | 0 |
| 2026-09-08 | 1 | 1 |
| 2026-09-09 | 0 | 0 |
| 2026-09-10 | 0 | 0 |
| 2026-09-11 | 0 | 0 |
| 2026-09-12 | 0 | 0 |
| 2026-09-13 | 0 | 0 |
| 2026-09-14 | 0 | 0 |
| 2026-09-15 | 0 | 0 |
| 2026-09-16 | 0 | 0 |
| 2026-09-17 | 0 | 0 |
| 2026-09-18 | 0 | 0 |
| 2026-09-19 | 0 | 0 |
| 2026-09-20 | 0 | 0 |
| 2026-09-21 | 1 | 1 |
| 2026-09-22 | 0 | 0 |
| 2026-09-23 | 0 | 0 |
| 2026-09-24 | 0 | 0 |
| 2026-09-25 | 0 | 0 |
| 2026-09-26 | 0 | 0 |
| 2026-09-27 | 0 | 0 |
| 2026-09-28 | 1 | 1 |
| 2026-09-29 | 0 | 0 |
| 2026-09-30 | 0 | 0 |
| 2026-10-01 | 0 | 0 |
| 2026-10-02 | 0 | 0 |
| 2026-10-03 | 0 | 0 |
| 2026-10-04 | 0 | 0 |
| 2026-10-05 | 0 | 0 |
| 2026-10-06 | 0 | 0 |
| 2026-10-07 | 0 | 0 |
| 2026-10-08 | 0 | 0 |
| 2026-10-09 | 0 | 0 |
| 2026-10-10 | 0 | 0 |
| 2026-10-11 | 0 | 0 |
| 2026-10-12 | 0 | 0 |
| 2026-10-13 | 0 | 0 |
| 2026-10-14 | 1 | 1 |
| 2026-10-15 | 0 | 0 |
| 2026-10-16 | 0 | 0 |
| 2026-10-17 | 0 | 0 |
| 2026-10-18 | 0 | 0 |
| 2026-10-19 | 0 | 0 |
| 2026-10-20 | 0 | 0 |
| 2026-10-21 | 0 | 0 |
| 2026-10-22 | 0 | 0 |
| 2026-10-23 | 0 | 0 |
| 2026-10-24 | 0 | 0 |
| 2026-10-25 | 0 | 0 |
| 2026-10-26 | 0 | 0 |
| 2026-10-27 | 2 | 1 |
| 2026-10-28 | 0 | 0 |
| 2026-10-29 | 0 | 0 |
| 2026-10-30 | 0 | 0 |
| 2026-10-31 | 0 | 0 |
| 2026-11-01 | 0 | 0 |
| 2026-11-02 | 0 | 0 |
Source breadth
Who published most
Official updates from the most active companies in this view.
| Company | Updates |
|---|---|
| Blackthorn Vision | 10 |
Coverage map
Official posts and independent mentions
One story may mention several companies. Bars follow its publication date and count it once in this view.
| Date UTC | Official posts | Independent stories |
|---|---|---|
| 2026-08-05 | 0 | 0 |
| 2026-08-06 | 0 | 0 |
| 2026-08-07 | 0 | 0 |
| 2026-08-08 | 0 | 0 |
| 2026-08-09 | 0 | 0 |
| 2026-08-10 | 0 | 0 |
| 2026-08-11 | 0 | 0 |
| 2026-08-12 | 0 | 0 |
| 2026-08-13 | 0 | 0 |
| 2026-08-14 | 0 | 0 |
| 2026-08-15 | 0 | 0 |
| 2026-08-16 | 0 | 0 |
| 2026-08-17 | 0 | 0 |
| 2026-08-18 | 0 | 0 |
| 2026-08-19 | 1 | 0 |
| 2026-08-20 | 0 | 0 |
| 2026-08-21 | 0 | 0 |
| 2026-08-22 | 0 | 0 |
| 2026-08-23 | 0 | 0 |
| 2026-08-24 | 0 | 0 |
| 2026-08-25 | 0 | 0 |
| 2026-08-26 | 0 | 0 |
| 2026-08-27 | 1 | 0 |
| 2026-08-28 | 0 | 0 |
| 2026-08-29 | 0 | 0 |
| 2026-08-30 | 0 | 0 |
| 2026-08-31 | 0 | 0 |
| 2026-09-01 | 0 | 0 |
| 2026-09-02 | 1 | 0 |
| 2026-09-03 | 0 | 0 |
| 2026-09-04 | 1 | 0 |
| 2026-09-05 | 0 | 0 |
| 2026-09-06 | 0 | 0 |
| 2026-09-07 | 0 | 0 |
| 2026-09-08 | 1 | 0 |
| 2026-09-09 | 0 | 0 |
| 2026-09-10 | 0 | 0 |
| 2026-09-11 | 0 | 0 |
| 2026-09-12 | 0 | 0 |
| 2026-09-13 | 0 | 0 |
| 2026-09-14 | 0 | 0 |
| 2026-09-15 | 0 | 0 |
| 2026-09-16 | 0 | 0 |
| 2026-09-17 | 0 | 0 |
| 2026-09-18 | 0 | 0 |
| 2026-09-19 | 0 | 0 |
| 2026-09-20 | 0 | 0 |
| 2026-09-21 | 1 | 0 |
| 2026-09-22 | 0 | 0 |
| 2026-09-23 | 0 | 0 |
| 2026-09-24 | 0 | 0 |
| 2026-09-25 | 0 | 0 |
| 2026-09-26 | 0 | 0 |
| 2026-09-27 | 0 | 0 |
| 2026-09-28 | 1 | 0 |
| 2026-09-29 | 0 | 0 |
| 2026-09-30 | 0 | 0 |
| 2026-10-01 | 0 | 0 |
| 2026-10-02 | 0 | 0 |
| 2026-10-03 | 0 | 0 |
| 2026-10-04 | 0 | 0 |
| 2026-10-05 | 0 | 0 |
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| 2026-10-11 | 0 | 0 |
| 2026-10-12 | 0 | 0 |
| 2026-10-13 | 0 | 0 |
| 2026-10-14 | 1 | 0 |
| 2026-10-15 | 0 | 0 |
| 2026-10-16 | 0 | 0 |
| 2026-10-17 | 0 | 0 |
| 2026-10-18 | 0 | 0 |
| 2026-10-19 | 0 | 0 |
| 2026-10-20 | 0 | 0 |
| 2026-10-21 | 0 | 0 |
| 2026-10-22 | 0 | 0 |
| 2026-10-23 | 0 | 0 |
| 2026-10-24 | 0 | 0 |
| 2026-10-25 | 0 | 0 |
| 2026-10-26 | 0 | 0 |
| 2026-10-27 | 2 | 0 |
| 2026-10-28 | 0 | 0 |
| 2026-10-29 | 0 | 0 |
| 2026-10-30 | 0 | 0 |
| 2026-10-31 | 0 | 0 |
| 2026-11-01 | 0 | 0 |
| 2026-11-02 | 0 | 0 |
Country filters match explicit article text; employer headquarters are not used. Official charts count the selected company’s own feed; independent mentions include stories from other publishers. Charts cover only ingested sources, not all market news. Stock prices and prediction markets provide context; neither proves a hiring change nor affects the hiring ranking.
Seven-day attention radar
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Chronological feed
Latest about Blackthorn Vision
10 stories · page 1 of 1
blackthorn-vision.com
Business intelligence services: What they cost and how to choose a provider
Imagine a situation where you assess the last quarter and your sales team says revenue grew by 12%, while finance reports 9%. Both assure you that their numbers come from your own systems. Understanding how this is possible and who is right, if either, is the job of business intelligence services. This guide covers what you’re buying when you hire these services, what it costs, how long it takes, and how to compare providers before you sign a contract. Business intelligence (BI) means turning the data your company already collects into reports and dashboards people use to make decisions about things like weekly cash flow or late supplier deliveries. The goal is one set of numbers that everyone in the company can rely on. Business intelligence services involve the people and work that make this happen. A provider connects your systems and cleans the data that flows through them. Then it agrees with you on how each number is calculated and builds the reports your team will use. Some providers also keep everything running after launch.
blackthorn-vision.com
The best telecom software development companies
Search for telecom software development companies, and you’ll find list after list. All claim expertise, but do they actually offer what you’re looking for? Do they have real experience? Can they commit to a multi-year partnership? We checked many companies offering telecom software development and picked 12 with the most solid profiles. They have proven expertise in the field and are known for reliability and a client-oriented approach. The list splits into two groups: platform vendors, which sell you software, and engineering partners that sell you teams to build it. Blackthorn Vision builds custom AI-powered software and extends the telecom platform you run. Operators such as AT&T, Vodafone, or Telefónica own networks and sell connectivity. Telecom software companies build the systems those operators run on: billing, order handling, network monitoring, and customer apps. Search results often blur the two. If a company’s main revenue comes from phone and broadband subscriptions, it’s an operator. You’d buy from it as a customer, and it’s not a candidate for your software project.
blackthorn-vision.com
Retail software development companies: 12 vetted partners for store, omnichannel, and supply chain tech
On Black Friday 2025, U.S. shoppers spent $11.8 billion online. Three days later, Adobe expected Cyber Monday spending to peak at about $16 million per minute. If your checkout goes down on a day like that, shoppers move to another store in a few seconds and those sales are hard to win back. Peak-day outages are only the most visible failure. A register that freezes when the store’s internet drops loses sales every week of the year. So do stock counts that drift between the website and the shelf. Payment pages also carry new risk. Since March 31, 2025,PCI DSS 4.0.1 rules require retailers to approve and monitor every script running on them. These are software problems, and they get expensive to fix once a system is live. How often you face them depends on the team you hire to build and maintain your retail systems. This guide compares 12 retail software development companies with public retail work that you can check. For each one, you’ll see what they build, one of their published cases, who they partner with, and where they fit. Besides the profiles, we cover cost, integrations, compliance, and the questions to ask before signing.
blackthorn-vision.com
AI in supply chain: Use cases and implementation guide
AI in supply chain management is the use of models that learn from operational data to predict, recommend, or carry out planning and execution decisions: what to buy, how much to stock, where to ship from, and which route to take. Those models sit inside or next to the systems that already run the supply chain, such as ERP, warehouse management (WMS), and transportation management (TMS) software. Gartner forecasts that 60% of enterprises using supply chain management software will have adopted agentic AI features by 2030, up from 5% in 2025. This only shows how quickly the market is moving. This guide covers where AI for supply chain management pays off, where agentic AI fits, and how to connect models to your ERP, WMS, and TMS software. A classic planning tool follows rules and formulas written and tuned by hand. A model learns patterns from history, such as how a promotion in one region shifts demand in another, or how one carrier’s delays cluster before public holidays. That makes it better at messy problems with many variables. It also makes it wrong in new ways when conditions change, which is why the workflow around the model is just as important as the model itself.
blackthorn-vision.com
AI in banking: Use cases, explainable AI, and how to deploy it in regulated environments
AI programs in banking can struggle to pass control reviews when they cannot explain how they reached a particular decision or which factors influenced it. That can delay deployment, and every delay adds to the cost of manual fraud reviews, underwriting, and other processes AI was meant to improve. While those issues are being resolved, competitors may already be putting similar systems into production. This blog explains how to avoid those bottlenecks when adopting AI in banking and finance. It covers the key considerations for implementing AI in banking, explores practical use cases, and takes a closer look at where generative AI fits into the financial services landscape. AI in banking means using machine learning, language models, and automated decision systems to do work that banks used to handle with static rules and people: scoring credit, spotting fraud, answering customers, pricing risk, and reading large volumes of documents. A gradient-boosted fraud model retrained weekly and a retrieval-based assistant that answers policy questions are both artificial intelligence banking systems, but they sit under completely different control regimes. Where the system lands depends on who it affects and how reversible the decision is. In general, the use of AI and ML in banking splits into two jobs: systems that rank and flag, and systems that decide.
blackthorn-vision.com
The AI-Native SDLC: From Writing Software to Orchestrating It
The AI-Native SDLC is not “developers using a chatbot”. It is a re-shaped delivery lifecycle where agents draft, test, review and ship, while our engineers set the direction, own the architecture and sign off the quality. Same rigour, a fraction of the calendar. Most vendors have stopped at era 2: an autocomplete plugin on top of an unchanged process. The gains only compound when the process itself is redesigned around agents. - Requirements captured by hand, ageing the moment they are signed - Design and architecture as long, serialised documentation cycles
blackthorn-vision.com
Custom software development cost: Real ranges, rate cards, and how to budget
Send the same requirements to several vendors and you’ll get back completely different numbers. Some of them can even say that they will only be able to send numbers after you commit to discovery. All these companies have their reasons and, with this blog, we will help you understand them. We will also lead you through the factors that impact the pricing – scope, compliance work, team seniority, and location, and give you the ranges we see in real deals. Most custom software development projects cost between $50,000 and $500,000. A simple internal tool starts near $30,000. A complex regulated enterprise platform can run past $1M. That range is so wide because “custom software” covers numerous services, from a single-purpose web form to a multi-tenant SaaS platform. Asking how much does custom software cost in general gets you an average, and averages hide things that actually set the number. The useful question wouldn’t be how much does custom software development cost in general, but what does your scope, at your compliance level, built by this team cost.
blackthorn-vision.com
Fitness app development companies: An independent shortlist
Ten fitness app development companies are compared below on data you can check yourself: Clutch review volume, published minimum project size, hourly rate bands, founding records, and named client work. No company paid to appear here. One of the ten is us, and that is disclosed openly rather than buried. Where a firm’s public record is thin or contradictory, we say so instead of filling the gap. Most fitness apps do not fail on the idea. They fail on the things nobody scoped: the wearable that syncs cleanly in the demo and drops readings in production, the workout video that buffers mid-set on gym Wi-Fi, the HIPAA question legal raises in month four when the architecture is already frozen. Choosing a fitness app development company is mostly an exercise in filtering out noise. Search results for this category are dominated by listicles published by development agencies that place themselves at position one. Those pages are marketing, not research, and the numbers in them tend to travel: one agency invents a performance metric for a competitor, three more copy it, and within a year the figure reads as established fact. This guide takes the opposite approach. Every claim below is traced to a source you can open and check. Where a company’s own marketing makes a claim we could not verify independently, it is marked as self-reported. Where the public record is genuinely unclear, we say that too.
blackthorn-vision.com
Top software development companies in the USA
All vendors will tell you they can build the product you need, and most of them can. Working out which one fits your budget, your time zone, and the kind of product you’re building – that is the hard part. This list scores 30 software development companies in USA, plus the software development firms serving US buyers from abroad. All of them were scored with a single composite formula that combines independent ratings, enterprise capability, recognition, and value for money. Clutch ratings, team sizes, and hourly rates are shown in a single table so you can shortlist in about five minutes. The United States generates more software revenue than any other country –around $353.5 billion in 2024, and demand is still climbing. The market is projected to reach$444.6 billion by 2029, pushed along by enterprise digitization, cloud adoption, and AI features arriving on almost every product roadmap. That scale is the major reason why finding a software development company USA buyers can rely on takes longer than it should: everyone is selling similar products and services into the same market.
blackthorn-vision.com
Robotic Process Automation in healthcare: Definition, benefits, and real cases
Numerous processes in healthcare don’t require clinicians’ judgment. To confirm an authorization request, to re-key data into two asynchronous systems, to check different calendars – all those processes require someone (or something) able to correctly move data from one screen to another. That’s the job for robotic process automation in healthcare. Software bots take over the repetitive, rules-based steps that complicate stuff and patients’ lives. RPA frees humans to spend their valuable time and knowledge on work that actually needs them. Hospitals, insurers, pharma companies, and public health agencies are already running these systems. This guide covers what robotic healthcare robotic process automation does and where it is the most useful. It also helps you understand the pricing and avoid the most common and costly mistakes. Robotic process automation (RPA) in healthcare is software that mimics the manual, repeatable steps a person would take on a keyboard: logging into a system, pulling a record, copying a field, submitting a form, etc. It differs from other common automation systems; here’s how.
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