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Solvios is the leading IT company in the business to give you growth, revenue, and a global platform.
We build custom mortgage software from loan origination systems and automated underwriting platforms to mortgage CRM tools, borrower portals, document management systems, and AI-integrated compliance tools for mortgage companies, non-QM lenders, correspondent lenders, and mortgage technology vendors that need software built around how their loan pipeline actually operates, not around how a generic LOS expects it to work. Our mortgage software development team brings deep knowledge of residential and commercial lending workflows, regulatory compliance architecture, and the third-party integration landscape that modern mortgage operations depend on.
Years of Experience
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Solvios is a custom mortgage software development company building loan origination systems, automated underwriting platforms, mortgage CRM tools, borrower-facing portals, document management and processing systems, and AI-integrated compliance tools for mortgage lenders, non-QM originators, correspondent lenders, and mortgage technology companies. We have delivered mortgage software specifically including a loan management and API integration platform for a US-based non-QM lender and we bring that real lending workflow experience into every mortgage software engagement.
Custom loan origination platforms that manage the full application lifecycle from borrower intake through processing, underwriting, approval, and closing built around your specific loan programs, credit policies, and workflow requirements.
CRM systems purpose-built for mortgage origination lead management, borrower relationship tracking, pipeline visibility, referral partner management, and the automated follow-up workflows that keep loan officers productive through a long origination cycle.
Custom underwriting platforms that evaluate loan applications against configurable credit policies, automate the data gathering and verification steps, and produce decisioning outputs with the audit trail and documentation that investors and regulators require.
Secure digital portals where borrowers submit applications, upload documents, track loan status, receive disclosures, and communicate with their loan officer reducing paper, email overhead, and the phone calls that slow every loan file.
Regulatory compliance management tools, document processing pipelines, e-disclosure delivery systems, and the audit trail infrastructure that keeps mortgage operations compliant with TRID, RESPA, HMDA, and state-level lending regulations.
Mortgage is one of the most heavily regulated and process-intensive industries in financial services. A loan file touches dozens of data sources, requires precise regulatory timing, involves multiple third parties, and carries compliance risk on nearly every step from application to closing. Most mortgage companies are running workflows that were designed for a different rate environment, a different regulatory burden, or a different loan volume and the software has not kept up. Here is what we actually see when we start a mortgage software engagement.
Non-QM lending, DSCR loans, bank statement programs, fix-and-flip products, and other alternative loan types require underwriting logic, document requirements, and pricing engines that most legacy loan origination systems were not built for. Lenders running non-standard programs on a system designed for agency conforming loans spend enormous operational effort working around the LOS rather than through it manual processes, spreadsheet overlays, and workarounds that create compliance risk and slow every file.
TRID timing requirements, RESPA compliance, HMDA data collection and reporting, state licensing and disclosure obligations, TILA-RESPA integrated disclosures, Qualified Mortgage rules, and investor-level overlay requirements all impose specific data, timing, and documentation obligations on the origination workflow. Compliance in mortgage is not a policy matter it is an engineering problem. Software that does not enforce the right data at the right step in the workflow creates the regulatory exposure that shows up in audits and investor reviews.
A mortgage loan file touches credit bureaus, automated valuation models, appraisal management companies, title companies, flood determination vendors, income and employment verification services, fraud detection vendors, doc preparation services, and warehouse lenders each with its own API, its own data format, and its own integration maintenance requirements. Lenders without clean integration architecture between their LOS and these services manually re-enter data at every step, which slows loan cycle time, introduces errors, and creates the data quality problems that cause investor repurchase demands.
The borrower experience in mortgage is still largely defined by email, phone calls, fax machines, and PDF forms that have to be printed, signed, and scanned. Borrowers who applied for a car loan or personal loan through a modern digital experience expect the same from their mortgage lender. Lenders whose borrower-facing process still relies on paper and email lose purchase loans to competitors who offer a genuinely digital application and closing experience particularly in the refinance market where the borrower chose to shop.
Mortgage origination volume is one of the most volatile of any industry it can triple in a refinance boom and collapse in a rising rate environment within the same year. Operations teams and technology platforms that were sized for one volume environment perform poorly at the other extreme. Lenders that over-hired in 2021 and under-invested in automation are now trying to do more loans with fewer people, and the operational workflows that worked with 40 processors do not work with 15\.
Every mortgage software engagement starts with the loan programs, the origination workflow, the regulatory obligations, and the integration landscape not with a feature list. The software is built to fit how your lending operation actually works, not how a generic LOS vendor assumes it should.
The mortgage market has more distinct participant types than most financial services categories each with different software needs, different regulatory obligations, and different operational workflows. We have built for companies across this spectrum.
Non-QM and Specialty Mortgage Lenders
Mortgage companies originating DSCR, bank statement, asset depletion, fix-and-flip, and other alternative loan products that require underwriting systems, document matrices, and pricing engines the generic LOS platforms were not built for. Non-QM lenders come to us specifically because they have outgrown what commercial systems can do for their programs without major customisation that the LOS vendor either cannot deliver or charges a premium that does not make economic sense.
Mortgage Bankers and Correspondent Lenders
Mortgage bankers managing their own LOS, secondary market delivery workflow, and warehouse line management and correspondent lenders managing the broker and mini-correspondent relationships that drive their origination volume. The software needs of a mortgage banker are materially different from a retail lender's, particularly around secondary market delivery, best execution analytics, and the loan sale and servicing released workflow.
Independent Mortgage Brokers and Broker Shops
Broker-focused CRM and pipeline management tools, wholesale lender submission portals, and the borrower communication infrastructure that independent brokers need to compete with retail lenders on experience quality. Brokers who can give borrowers a digital experience comparable to a bank's mobile app close more business and most broker-specific software does not deliver that.
Mortgage Technology Vendors (LOS and PropTech ISVs)
Custom development for independent software vendors building mortgage technology products LOS platforms, POS systems, compliance tools, appraisal technology, title and closing platforms where the end customers are lenders and the software must satisfy the integration standards, data security requirements, and regulatory compliance obligations of the mortgage industry.
Credit Unions and Community Banks
Mortgage origination technology for credit unions and community banks that originate residential mortgages as a core product but cannot justify the enterprise pricing of the major commercial LOS platforms. These institutions need the same functional depth compliance management, secondary market delivery, borrower portal at a cost structure that makes sense for their origination volume.
Mortgage Servicers and Default Management Companies
Loan servicing platforms, loss mitigation workflow tools, default management systems, and the borrower communication infrastructure for companies managing the post-closing lifecycle of mortgage loans from payment processing and escrow management through loss mitigation, foreclosure, and REO disposition.
We will map your loan programs, your regulatory obligations, and your integration landscape and give you an honest architecture path forward before any code is written. Response within 24 hours.
These are the capabilities that mortgage software requires to support real loan volume, satisfy regulatory examination, integrate with the third-party ecosystem that lending operations depend on, and protect the borrower data that financial privacy regulation requires to be handled with care.
Full lifecycle loan tracking from application through funding with milestone-based task management, SLA monitoring, capacity dashboards, and the real-time visibility that operations managers need to identify bottlenecks before they cause closings to slip.
Loan program eligibility rules, LTV and DTI limits, credit overlays, reserve requirements, and program-specific exception management are all configurable per product without code changes, because mortgage credit policy changes more frequently than most software update cycles allow for.
Loan Estimate and Closing Disclosure timing engine, tolerance monitoring, re-disclosure workflow, e-consent and e-delivery infrastructure, and the compliance audit trail that documents every disclosure event from generation through borrower acknowledgment.
Secure document storage, OCR-based data extraction, automated document classification, stacking order management, and the exception workflow that routes documents requiring human review without blocking the automated processing of clean files.
Centralised integration management for credit bureaus, income and employment verification services, AVM and appraisal management, flood determination, title and closing platforms, and warehouse lenders with unified error handling and data normalisation across the full integration landscape.
Digital application, document upload, loan status tracking, e-disclosure receipt, and milestone-triggered communication accessible on web and mobile with the security controls and audit trail that financial services data and ESIGN compliance require.
HMDA data field collection integrated into the origination workflow, LAR file validation and submission preparation, adverse action notice generation and tracking, and the compliance reporting that satisfies CFPB, state regulator, and investor examination requirements.
MISMO-formatted loan package delivery, investor submission portal integration, best execution analysis, lock management, and the secondary market workflow that mortgage bankers depend on to move closed loans off their warehouse lines efficiently.
AI in mortgage software is not about replacing the underwriter or automating the judgment calls that lending expertise is actually required for. It is about eliminating the administrative tasks that consume underwriter, processor, and loan officer time without adding credit value document classification, income calculation from bank statements, compliance timing checks, application quality scoring so the people doing the lending work can focus on the decisions that require their expertise rather than the clerical work that should not require it at all. Every mortgage platform we build is architected with AI integration as a considered component from the first sprint.
OCR and ML-based document classification pipelines that ingest borrower-submitted documents, classify them by type W-2, bank statement, pay stub, tax return, appraisal, title report extract the structured data fields the underwriting workflow requires, and route exception documents to human review without blocking the automated processing of clean submissions. Reduces processor time on document management and improves data accuracy in the loan file by eliminating manual transcription.
Highlights:
OCR and ML-based document classification pipelines that ingest borrower-submitted documents, classify them by type W-2, bank statement, pay stub, tax return, appraisal, title report extract the structured data fields the underwriting workflow requires, and route exception documents to human review without blocking the automated processing of clean submissions. Reduces processor time on document management and improves data accuracy in the loan file by eliminating manual transcription.
Highlights:
Most mortgage software projects fail not because the engineering team lacked capability but because the regulatory requirements were misunderstood, the third-party integration complexity was underestimated, or the loan program logic was insufficiently specified before development began and mortgage credit policy is deceptively complex. Our mortgage software development services follow a structured, compliance-first delivery methodology designed to surface those problems at discovery when they are cheap to address.
Here's exactly how it works.
We map your loan programs, credit policies, regulatory obligations, state licensing footprint, third-party service dependencies, and operational workflow in detail. Output is a project scope that includes a compliance architecture, integration plan, data model, and risk register before any development begins.
Technical architecture designed with the data integrity, compliance audit trail, and third-party integration requirements of mortgage origination built in. Loan officer, processor, underwriter, and borrower-facing UI/UX designed before development begins because the workflow assumptions embedded in the UX design determine whether operations staff adopt the software or route around it.
Two-week sprints with working loan workflow software delivered each cycle. Compliance controls, credit bureau integration, and TRID timing logic are addressed in the first two sprints not deferred to the end where there is no room to fix them before the go-live date that the lender's operations team is planning around.
Integration testing against credit bureaus, income verification services, and AVM providers. Compliance validation of TRID timing logic, disclosure delivery workflow, and HMDA data collection. Penetration testing on borrower-facing portals. Performance testing at the transaction volumes the lender's pipeline generates.
Phased rollout with parallel operation of old and new systems during transition, loan officer and processor training, data migration from legacy platforms, compliance documentation finalized, and post-launch monitoring active. Mortgage software cutovers require careful coordination with the lender's operations calendar avoiding high-volume periods and key compliance dates.
Post-launch monitoring, regulatory update implementation as guidelines change, integration maintenance as third-party service APIs evolve, and feature development for new loan programs or operational requirements. Mortgage regulatory requirements change constantly and the software needs to keep pace.
Mortgage software projects range from a targeted integration or compliance module to a full custom LOS build. The right engagement model depends on your loan program complexity, your regulatory timeline, and how clearly the requirements can be defined before development begins.
You are building a full custom LOS or major platform component, scaling an existing platform to support new loan programs or state expansion, or augmenting your in-house technology team with mortgage-specific software expertise without the cost and lead time of full-time hires.
Hand-picked engineers with mortgage software experience, a QA specialist, and a technical lead working exclusively on your platform. Sprint planning and loan workflow demos run on your calendar. LOS architecture, compliance controls, third-party integrations, and AI document processing modules are all handled in-house.
Monthly retainer. No surprise invoices, no scope-creep billing. Team composition flexes as your mortgage technology roadmap evolves.
3-10 engineers
6-month minimum
Scales with 30-day notice
Most lenders start with one model and evolve into another as the platform matures and loan programs expand. Let's figure out the right starting point together.
Mortgage software is one of the most workflow-specific, compliance-intensive, and integration-dependent categories in financial services. Getting it right requires a development team that understands lending not just the technical architecture but the operational reality of originating loans through a regulatory environment that does not forgive implementation gaps. Here is what makes the difference in practice.
We Have Delivered Mortgage Software for a Real Lender
The case study on this page is a real mortgage company with a real non-QM loan operation and a real compliance requirement not a generic financial services case study relabelled for mortgage. We built a loan management platform for a US-based non-QM lender with the third-party integrations, the workflow automation, and the operational reporting that a production lending operation requires. That experience shapes every architecture decision we make in a mortgage software engagement.
Non-QM and Alternative Lending Program Experience
DSCR loans, bank statement income, asset depletion, fix-and-flip, and other alternative loan programs require underwriting systems, document matrices, and pricing engine requirements that most development teams have never encountered. We have worked inside a non-QM lending operation and understand what the credit policy documentation needs to contain before a developer can build the decisioning logic it describes.
Compliance Architecture Built In from Day One
TRID, RESPA, HMDA, TILA, state licensing and disclosure requirements, and investor overlay compliance are all addressed in the architecture from the first sprint. Mortgage software that was not designed with compliance as an architectural constraint creates the audit findings and investor repurchase demands that are expensive to fix after a loan has closed.
Third-Party Integration Depth Across the Mortgage Stack
Credit bureaus, income verification services, AVM providers, appraisal management companies, title platforms, document preparation services, e-signature platforms, and warehouse lenders we have integrated across the mortgage technology ecosystem. The integration complexity in mortgage is where most development teams underestimate the scope, and where the technical decisions made in the first sprint determine how much maintenance cost the integration layer generates over its lifetime.
AI-Integrated Mortgage Software from Day One
Intelligent document processing, bank statement income analysis, automated compliance monitoring, and application fraud scoring all require a data architecture designed to support ML workloads from the start. We address the AI strategy in discovery so that the intelligence capabilities are built into the lending workflow rather than added as a feature that requires rebuilding the document and data layer to support.
US-Based Communication, Built for US Lending Regulation
US mortgage regulation is sufficiently specific and sufficiently consequential that working with a development team that understands the US regulatory context is not optional, it is a requirement. Our project management and client communication run on US business hours, and our compliance architecture is built for the US regulatory environment, not translated from a generic financial services template.
Honest answers to the questions every mortgage company CTO, COO, and technology leader asks before choosing a mortgage software development company. If something is not covered here, our solution architects will walk you through it on a discovery call, no sales pitch, no fluff.
Cost depends on scope and loan program complexity. A borrower-facing portal with digital application, document upload, loan status tracking, and e-disclosure delivery typically starts at $40,000-$80,000. A mortgage CRM with lead management, referral partner workflow, and automated communication starts at $50,000-$100,000. A custom LOS with configurable loan program support, underwriting workflow, compliance management, and third-party integrations is typically $150,000-$400,000 depending on program complexity and integration count. An automated underwriting system with configurable credit policy and AI document processing starts at $80,000-$180,000. Solvios provides fixed-price proposals after a lending workflow and compliance discovery session.
A borrower portal with digital application and document management takes 3-5 months. A mortgage CRM with full loan pipeline integration takes 4-7 months. A custom LOS covering a single loan program with core workflow takes 6-10 months. A full custom LOS with multiple loan programs, complete compliance management, and the full integration landscape takes 10–18 months delivered in phases. The biggest variable is the completeness and clarity of the loan program and credit policy documentation at the start which is why we invest 2–4 weeks in lending workflow discovery before any development begins.
Commercial LOS platforms Encompass, BytePro, Calyx Point, Finastra Mortgagebot are built for the average mortgage lender originating primarily agency-conforming loans. They work well for that use case. A custom LOS makes sense when the loan programs, credit policies, or operational workflow are sufficiently different from the commercial platform's assumptions that the customisation required to make it work exceeds the cost of building to specification. Non-QM lenders, specialty servicers, and mortgage technology companies building products for other lenders are the most common cases where custom development is the right answer. We make this recommendation honestly during discovery rather than pushing custom development when a commercial platform would serve the lender better.
TRID compliance is an architectural component, not a pre-launch validation. We build the Loan Estimate and Closing Disclosure timing engine into the workflow from the first sprint business day calculation logic, fee tolerance tracking, changed circumstance re-disclosure workflow, and the compliance audit trail that documents every disclosure event. HMDA data collection is integrated into the origination workflow fields rather than extracted post-close. State compliance requirements are mapped during discovery and implemented as workflow controls, not documented as operational guidance that the team is expected to follow manually.
Yes\! This is one of our specific areas of experience in mortgage software development. We have built a loan management platform for a US-based non-QM lender operating bank statement and Prime Jumbo programs. Non-QM software requirements DSCR calculation engines, bank statement income analysis, asset depletion underwriting tools, and the investor-specific credit overlay management that defines the non-QM space are meaningfully different from conforming LOS requirements, and we have built for them in production.
We have integrated across the US mortgage technology ecosystem: Experian, TransUnion, and Equifax for credit reporting; Fannie Mae Day 1 Certainty and Freddie Mac LPA for automated underwriting; Plaid and Truework for income and employment verification; Optimal Blue and Polly for product and pricing; DocuSign and Adobe Acrobat Sign for e-signature and e-disclosure; MERS for mortgage registration; appraisal management company APIs; title and settlement platform APIs; and warehouse lender portal integrations. The integration inventory is finalised during discovery based on the specific services the lender's operation depends on.
Yes. Retail origination software loan officer CRM, borrower portal, LOS with retail workflow and wholesale lending technology broker submission portals, correspondent lending platforms, and the approval and delivery workflow for third-party originators have different feature requirements and different user roles. We have built for both channels and understand the distinctions in the workflow, the data model, and the user experience requirements that separate retail and wholesale lending technology.
Three models: Dedicated Mortgage Development Team for full custom LOS builds and multi-quarter platform programmes; Time and Material for iterative development where the loan program scope or integration complexity is still being defined; and Fixed Cost for well-scoped mortgage software projects where the loan programs, credit policies, regulatory requirements, and integration landscape are clearly documented before the engagement starts. We recommend the right model honestly based on the completeness of the lending workflow documentation and the clarity of the scope.
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