
Let's build together.
Talk with a senior engineer about your product idea, architecture, and what it would take to build it.
6
years on the market
73%
new clients come from referrals
510+
finished projects
80+
software engineers
Services we offer
- 01Custom AI Solutions
> TAILORED AI DEVELOPMENT <
Off the shelf solutions rarely match the specific workflows, data structures, and compliance requirements that make your business distinct. Our custom AI development at SoftDoes blends machine learning, statistical modeling, rules based logic, and text analytics into systems designed around your operations. Albany teams can begin with a clearly scoped project, like a text classifier, forecast model, or recommendation engine, and expand from there. Every component is documented so your internal engineers can maintain and extend the system independently.
- Domain specific model training on your data
- Modular architecture for future extension
- Full documentation and knowledge transfer
- Compliance and security from the start
- Clear success metrics before development begins
> ENTERPRISE AI ARCHITECTURE <
What does your enterprise AI architecture need to handle today, and what will it face in eighteen months? Answering that question correctly determines whether your AI investment compounds in value or becomes another piece of technical debt.
- Multi model orchestration and pipeline design
- Infrastructure planning across cloud and edge
- Retrieval augmented generation for internal knowledge
- 02Artificial Intelligence Development
> ARTIFICIAL INTELLIGENCE DEVELOPMENT <
Most companies in the Albany Capital Region already sit on enough data to automate decisions, reduce manual effort, and react faster than their competitors. The problem is rarely a lack of data. It is the absence of a system that can interpret that data, learn from it, and act on it within existing operations. Our team at SoftDoes handles the full arc of artificial intelligence development, from early data assessment through model training, validation, and deployment into your live environment. We work closely with stakeholders to define what success actually looks like before writing a single line of model code, so the result connects directly to your business objectives rather than sitting idle in a notebook.
- Supervised and unsupervised model training
- Natural language processing for document understanding
- Computer vision for image recognition tasks
- Predictive analytics and anomaly detection
- Conversational AI and chatbot engineering
- Deep learning model architecture design
- Data engineering and pipeline construction
- 03Machine Learning Model Development
> MACHINE LEARNING MODEL DEVELOPMENT <
A machine learning model is only as useful as its connection to a real decision. If the model cannot generalize beyond the training set, or if nobody trusts its output enough to act on it, the investment is wasted. That is why model development at SoftDoes starts with a clear problem statement and a measurable target, not a technology choice. We design machine learning models that handle classification, regression, forecasting, and recommendation tasks. Each model goes through rigorous feature engineering, bias auditing, and validation against holdout data before it touches production. Albany companies working with legacy datasets benefit from our emphasis on data quality assessment upfront, which prevents costly rework later.
- Classification and regression models
- Demand forecasting and time series analysis
- Recommendation engine development
- Feature engineering and selection
- Bias detection and fairness auditing
- Model retraining and version control
- Performance benchmarking against baselines
- 04AI Operationalization
> AI OPERATIONALIZATION <
Training a model is roughly twenty percent of the work. The rest is making it reliable in production, monitoring its accuracy over time, detecting drift, and retraining when the underlying data shifts. Without proper operationalization, even a brilliant model degrades quietly until someone notices the outputs have gone wrong. SoftDoes handles the full operational lifecycle. We set up CI/CD pipelines for model deployment, configure monitoring and alerting for performance degradation, and design retraining schedules that keep your AI systems accurate. Our approach to AI operationalization covers cloud and on premises environments, with observability tooling that gives your engineering team full visibility.
- CI/CD pipelines for model deployment
- Real time performance monitoring
- Automated drift detection and alerts
- Retraining pipeline orchestration
- Logging and observability infrastructure
- Cloud and on premises deployment support
- Security and compliance configuration
- 05AI-Driven Process Automation
> AI DRIVEN PROCESS AUTOMATION <
Repetitive manual work is expensive, error prone, and impossible to sustain as volume increases. Invoice processing, form classification, content tagging, and data entry are all tasks where AI driven process automation eliminates bottlenecks without requiring a complete system overhaul. The savings show up quickly in hours recovered and error rates reduced. Our automation work at SoftDoes combines rules based logic with trained ML classifiers and text analytics to handle the messy, varied inputs that pure rule systems cannot manage. We design each automation layer to fit within your current workflows, so your teams adopt it without friction. Albany organizations dealing with high document volumes or repetitive operational tasks see measurable results within weeks of deployment.
- Document classification and extraction
- Intelligent form processing
- Automated data entry and validation
- Workflow trigger configuration
- Exception handling and human in the loop routing
- Throughput monitoring dashboards
- Integration with existing business functions
> TAILORED AI DEVELOPMENT <
Off the shelf solutions rarely match the specific workflows, data structures, and compliance requirements that make your business distinct. Our custom AI development at SoftDoes blends machine learning, statistical modeling, rules based logic, and text analytics into systems designed around your operations. Albany teams can begin with a clearly scoped project, like a text classifier, forecast model, or recommendation engine, and expand from there. Every component is documented so your internal engineers can maintain and extend the system independently.
- Domain specific model training on your data
- Modular architecture for future extension
- Full documentation and knowledge transfer
- Compliance and security from the start
- Clear success metrics before development begins
> ENTERPRISE AI ARCHITECTURE <
What does your enterprise AI architecture need to handle today, and what will it face in eighteen months? Answering that question correctly determines whether your AI investment compounds in value or becomes another piece of technical debt.
- Multi model orchestration and pipeline design
- Infrastructure planning across cloud and edge
- Retrieval augmented generation for internal knowledge
PRODUCTS BUILT ACROSS INDUSTRIES
Finance
Detecting anomalies in transaction data and automating compliance reporting are core needs in the financial services sector. Custom AI models trained on your specific patterns reduce false positives and accelerate audit preparation.
Healthcare
From medical imaging analysis to patient record classification, tailored ai solutions help clinical and administrative teams reduce errors, speed up processing, and maintain strict data protection across every system.
Education
Personalized learning and automated administrative workflows are transforming institutions. AI tools trained on enrollment, engagement, and performance data help support smarter decisions at every level.
Construction
Monitoring project timelines, predicting material needs, and flagging safety risks before they occur require intelligent solutions tuned to the unpredictable realities of job site data and shifting schedules.
Technology
Accelerating product development cycles, automating code review, and improving user engagement through generative AI features demand engineering teams with deep AI expertise and production deployment experience.
Startups
Moving from prototype to market with limited resources means every engineering hour counts. Custom AI solutions let early stage teams automate core business functions without overcommitting on infrastructure.
Compliance
Navigating frameworks requires systems that log decisions, explain outputs, and handle high risk AI systems with the documentation regulators expect.
Energy
Forecasting demand, optimizing distribution, and monitoring equipment through AI and IoT sensor data turn reactive maintenance into predictive operations, reducing downtime and improving operational efficiency.
Transparency at each stage
Discovery & Alignment
Defined goals and a precise roadmap ensure your vision is realized without unexpected pivots or hidden costs.
Technical Strategy
Senior engineers select the optimal tech stack with clear architectural reasoning for long-term scalability.
Iterative Development
Gain real-time access to code and staging environments with regular demos to track every milestone as it happens.
Careful Testing
Receive transparent QA, security, and performance audits to ensure a flawless and stable launch every time.
Deployment & Support
Stay in total control with full documentation and proactive monitoring to keep your systems running at peak performance.
Numbers Don’t Lie
Recent projects showcasing how we design, engineer, and deliver production-ready software solutions.

WHAT IT WAS LIKE TO BUILD TOGETHER
Direct feedback from founders and product owners – including our partners right here in Albany, NY – after shipping, scaling, and maintaining real production systems.
WHAT CHANGED IN PRACTICE
Clients didn’t stay because of promises. They stayed because delivery became predictable, ownership was clear, and the product kept moving forward after launch.
- 01Direct Access to Senior Engineers
When you work with SoftDoes, your project is handled by senior engineers who write the code, design the architecture, and join your calls directly. There are no project managers relaying messages between you and the person doing the work. Questions get answered by the person who actually knows the answer. This structure eliminates miscommunication and speeds up every decision. Our AI implementation services are carried out by the same people who planned them. You get AI expertise without the overhead.
- 02Predictable Delivery
Every AI project at SoftDoes begins with a defined scope, a clear timeline, and milestones tied to functional output rather than vague progress percentages. We break work into increments that produce visible, testable results at regular intervals. If something shifts, you know about it immediately, along with the options and tradeoffs. This approach to custom software development removes the uncertainty that plagues most technical engagements. You always know where the project stands and what is coming next.
- 03Built to Last Past Launch
Launching a model or an automated workflow is not the finish line. It is the starting point. Every AI system we design at SoftDoes is documented, modular, and structured for ongoing support and iteration. We architect for maintainability from day one, so your internal team can operate, update, and extend the system without calling us for every change. Our AI driven solutions are engineered with long term reliability in mind, not just demo day readiness.
- 04No Babysitting Required
Our engineering teams operate with full autonomy once objectives and constraints are aligned. We do not wait for you to chase us for updates or ask about next steps. Progress reports arrive on schedule. Decisions within the agreed scope are made without unnecessary back and forth. This means your leadership team can focus on running the business while our AI services run in parallel. The result is faster execution with less overhead on your side.
Technologies We Use
AI MODELS & LLMs
ML FRAMEWORKS
MLOPS & AI INFRASTRUCTURE
AI CLOUD PLATFORMS
AI AUTOMATION TOOLS
DATABASES / DATA INFRASTRUCTURE
Frequently Asked Questions
Everything you need to know about deploying, scaling, and securing your neural agents with SoftDoes. Can’t find an answer?
How is communication handled in custom AI solutions?
Every SoftDoes engagement starts with an agreed communication cadence, typically weekly syncs plus asynchronous updates in your preferred tool. You receive direct access to the engineers working on your project, not a separate account manager. Critical decisions and blockers are flagged immediately rather than saved for the next scheduled meeting. All technical documentation, architecture decisions, and progress notes are stored in a shared repository. This transparency is central to how we approach custom AI development. You stay informed without needing to micromanage.
What types of AI projects are a good fit for SoftDoes?
We work across a wide range of project types, from narrow proof of concept models to full enterprise AI deployments. Short engagements like a single classifier or forecasting module are just as welcome as multi phase digital transformation programs. AI-powered advertising platforms automate campaign optimization for businesses. What matters is that the project has a defined problem, accessible data, and a team ready to put the results into operation. If you are leveraging AI to automate business operations or improve decision making, we can help. Our experience spans diverse industries and AI technologies.
Do you build MVPs or only large systems?
SoftDoes works on both MVPs and more extensive platforms, adjusting process and architecture accordingly. MVP projects focus on a narrow slice of functionality, such as one machine learning classifier or a single natural language feature. Even in small projects we keep an eye on future AI operationalization, data collection and maintainability. The path from MVP to a more complete, integrated AI solution unfolds naturally over time. We help choose what belongs in the first release and what can wait without harming long term plans.
How do you measure the success and accuracy of an AI model?
We start by defining clear success criteria with Albany stakeholders, such as accuracy, precision, recall or business level metrics. Our data science team selects appropriate evaluation methods and baselines for each machine learning or language processing task. Validation sets, cross validation and real world shadow testing reveal performance before full deployment. We monitor models in production, watching for drift, changing data and shifts in user behavior. Technical metrics link directly to real outcomes, like reduced manual review time or fewer misrouted requests.
What happens after launch?
After launch, SoftDoes monitors AI services, reviews logs and refines models in collaboration with Albany teams. We handle bug fixes, performance tuning and adjustments as users interact with new features and workflows. Periodic data analysis and retraining sessions keep machine learning models current as conditions change. Documentation and knowledge transfer continue so internal staff can take more responsibility over time. We can remain engaged as a long term technical partner or step back once systems run smoothly.
Will we own the code and IP?
Albany clients own the custom code and intellectual property we create under the terms of the engagement. This includes application logic, machine learning pipelines and configuration tailored specifically to their needs. We may use internal libraries and tools to accelerate work, but these are clearly separated and documented. Repositories, documentation and access are handed over at the end of the project or at agreed milestones. We are transparent about licensing and third party components used in AI and data analytics solutions.
What makes SoftDoes different from a typical agency?
SoftDoes focuses on complex software and artificial intelligence engineering with senior practitioners, not generic campaigns or surface level work. Our depth in machine learning, language processing, data engineering and AI operationalization goes well beyond high level ai consulting. Clients in Albany interact with the people doing the technical work, reducing overhead and confusion. We emphasize maintainable systems, long term reliability and open communication rather than quick wins that do not last. We are a technical partner who thinks alongside internal teams instead of only executing tickets.
How do you price projects?
Pricing depends on scope, complexity, data condition and required AI features rather than a flat menu. We discuss objectives, constraints and possible architectures with Albany stakeholders before suggesting an approach. Some projects are framed as fixed scope with clear milestones. Others use flexible arrangements for ongoing AI and data work. We are transparent about assumptions, tradeoffs and what is included in each proposal. Share your context and we will outline concrete options.
What to Expect on a Discovery Call with a Software Development Company
A discovery call with SoftDoes is a 30 minute conversation to determine whether your business challenges align with our engineering expertise. There is no sales pitch, no pressure, and no expectation that you arrive with a technical specification. You explain your current situation, we ask questions, discuss possible directions, and together decide whether moving forward makes sense.
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