Best AI Integration Services

Coherent Solutions

Minneapolis product engineering firm with 2,000+ staff and a growing AI share of work

Founded 1995 | Minneapolis, MN, USA | 2,000+ employees
data-platform-integrationpredictive-analyticsllm-api-integration

What is Coherent Solutions?

Coherent Solutions was founded in Minneapolis in 1995 and has more than 2,000 employees in 10 countries. Clutch shows about 30% of its listed work as AI development, alongside data analytics and cloud. It has a 4.7 Clutch rating across 30 reviews in one regional ranking. Clutch lists a $50–$99 hourly band and a $50,000 minimum, and the firm suits product companies that want a steady engineering partner more than a short AI pilot.

Coherent Solutions works primarily with clients in Healthcare, Financial services, Media, SaaS sectors. Its primary differentiator is: Three decades of product engineering with a data and AI practice.

Coherent Solutions tech stack and services

Azure OpenAIAWS BedrockSnowflakeDatabricksPower BI
Service area
Data Platform Integration
Predictive Analytics
LLM API Integration

Coherent Solutions pricing

Short answer: Coherent Solutions prices its work as follows: dedicated teams and time & materials; $50–$99/hr (Clutch band). Minimum engagement starts at $50,000+ (Clutch).

Engagement model Typical range Best for
Dedicated team Monthly team rate; not public Continuing the build after a pilot
Time & materials Hourly; see pricing model above Scope that will change as you learn
Coherent Solutions does not publish a public rate card. Contact them directly via their website to get project-specific pricing.

Coherent Solutions pros and cons

Advantages Things to consider
+Long operating history since 1995. -The $50K Clutch minimum rules out small tests
+Clutch cost rating of 4.7. -AI is a growing practice inside a generalist engineering firm
+Analytics and AI work share one team. -No packaged pilot or managed-service offer for AI

Coherent Solutions vs alternatives

How Coherent Solutions compares to the other top AI Integration Services providers.

Company Best for Key difference Rating Compare
Tensorway Buyers who want a priced pilot before a... Fixed-price audit and pilot, with the per-request API cost modeled before rollout 4.8 Full comparison
Provectus AWS-centric companies adding generative AI. AWS Premier Tier status with a gen-AI practice built around Bedrock 4.6 Full comparison
Slalom Mid-size and large firms on several platforms at... Partner depth across Snowflake, Microsoft, Salesforce, and OpenAI in one firm 4.5 Full comparison
Neurons Lab Banks and insurers piloting AI agents. AWS Generative AI competency combined with a financial-services client base 4.5 Full comparison
deepsense.ai Teams needing RAG and evaluation done properly. Evaluation frameworks that test model output before it reaches users 4.5 Full comparison
RTS Labs U.S. firms needing onshore-only delivery. All-U.S. engineering team and early MCP integration work 4.4 Full comparison
Coastal Cloud Salesforce customers rolling out Agentforce. Summit-tier Salesforce practice concentrated on Agentforce and Data Cloud 4.4 Full comparison
Hitachi Solutions Dynamics 365 shops adding Copilot. A practice that works only on Microsoft technology, centered on Dynamics 365 4.4 Full comparison
Datatonic Companies whose data already lives in BigQuery. Google Cloud focus with LLMOps tooling for monitored production models 4.3 Full comparison
Quantiphi Large document-heavy programs on Google Cloud or AWS. Partner-of-the-year history with both Google Cloud and AWS on AI work 4.3 Full comparison
Addepto Manufacturers connecting AI to engineering data. Integration work with industrial systems such as SCADA, CAD, and PLM 4.3 Full comparison
Master of Code Global Support teams adding chat or voice agents. Dedicated conversation designers working beside the engineers 4.3 Full comparison
Perficient Mid-market Salesforce or Microsoft customers. Agentforce capability expanded through the Kelley Austin acquisition 4.2 Full comparison
Avanade Large Microsoft-standardized enterprises. Microsoft-only scale, with Accenture as majority owner 4.2 Full comparison
Grid Dynamics Retailers adding agentic commerce features. Packaged agentic platforms (GAIN) sitting on top of custom engineering 4.2 Full comparison
Thoughtworks Engineering-led teams with strict code standards. Engineering practice reputation applied to AI-first delivery 4.2 Full comparison
Deloitte Regulated enterprises needing audit-grade controls. Risk, audit, and regulatory teams working next to the integrators 4.1 Full comparison
EPAM Systems Enterprises with multi-year engineering budgets. Engineering capacity across Europe, India, and the Americas for long AI programs 4.1 Full comparison
Globant Buyers wanting subscription pricing on AI delivery. AI Pods priced by output or consumption instead of hours 4.1 Full comparison
InData Labs Smaller budgets, analytics and document AI. Predictive analytics depth at mid-band European rates 4.1 Full comparison
Capgemini Global firms outsourcing AI-run back-office processes. Business-process outsourcing combined with agentic AI after the WNS deal 4.0 Full comparison
Persistent Systems Cost-conscious enterprises with offshore teams. Offshore engineering scale with its own gen-AI delivery platform 4.0 Full comparison
SoftServe Document AI projects on Google Cloud. Google Cloud Premier status with Document AI expertise 4.0 Full comparison
Azumo U.S. startups wanting nearshore AI engineers. Latin American engineers working U.S. hours 4.0 Full comparison
STX Next Python-heavy product teams. Python engineering depth applied to AI and data work 4.0 Full comparison
Miquido Consumer apps adding AI features. Product design and mobile skills around the AI work 3.9 Full comparison
Koombea Product teams wanting fixed-scope AI sprints. Story-point-scoped AI Pods in two-week cycles 3.9 Full comparison
ScienceSoft Tight budgets needing a small first project. Lowest published entry point on this list ($5K Clutch minimum) 3.9 Full comparison
Svitla Systems Long-term AI team extension. Dedicated teams split across Latin America and Eastern Europe 3.9 Full comparison
N-iX Enterprises connecting AI to SAP data. SAP, Snowflake, and Palantir partnerships in one engineering firm 3.9 Full comparison
Vention Funded startups needing AI developers fast. Large developer pool for startup and scale-up teams 3.8 Full comparison
Itransition Companies bundling AI with wider IT work. AI/ML center of excellence within a wide IT services catalog 3.8 Full comparison
LeewayHertz Buyers open to a platform-based build. ZBrain platform for assembling enterprise AI apps 3.8 Full comparison

Coherent Solutions FAQ

What is Coherent Solutions?

Minneapolis product engineering firm with 2,000+ staff and a growing AI share of work

How much does Coherent Solutions charge?

Pricing model: dedicated teams and time & materials; $50–$99/hr (Clutch band). Minimum engagement starts at $50,000+ (Clutch). A discovery call is required to get project-specific quotes.

What tech stack does Coherent Solutions use?

Coherent Solutions works with Azure OpenAI, AWS Bedrock, Snowflake, Databricks, Power BI. Primary industries served include Healthcare, Financial services, Media, SaaS.

Is Coherent Solutions right for enterprise?

Best for: product companies needing steady engineering capacity. Team size: 2,000+. Key consideration: The $50K Clutch minimum rules out small tests.

What are the best Coherent Solutions alternatives?

The best alternatives to Coherent Solutions depend on your use case. Top options are:

  • Tensorway: fixed-price audit and pilot, with the per-request API cost modeled before rollout
  • Provectus: AWS Premier Tier status with a gen-AI practice built around Bedrock
  • Slalom: partner depth across Snowflake, Microsoft, Salesforce, and OpenAI in one firm
See full alternatives list

Compare Coherent Solutions with other AI Integration Services providers

Verify all details directly with Coherent Solutions before making a decision.